bluuebunny/crossref_metadata_2025 huggingface dataset:
Supervised Separation of Speech from Background Piano Music using a Nonnegative Matrix Factorization Approach
Authors: Martinez-Colón A.  , Canadas-Quesada F.J.  , Vera-Candeas P.  , Ruiz-Reyes N.  , Moreno-Fuentes F.
Published: February 2025

This paper presents a supervised algorithm for separating speech from background non-stationary noise (piano music) in single-channel recordings. The proposed algorithm, based on a nonnegative matrix factorization (NMF) approach, is able to extract speech sounds from isolated or chords piano sounds learning the set of spectral patterns generated by independent syllables and piano notes. Moreover, a sparsity constraint is used to improve the quality of the separated signals. Our proposal was tested using several audio mixtures composed of real-world piano recordings and Spanish speech showing promising results.
Empirical Study of Classification Models for Web Page Categorization
Authors: Tunys Tomáš  , Šediv ý Jan
Published: February 2025

We describe one part of a web page content classification system used for contextual advertising. The system classifies the content of a web page to one of many predefined ad categories, i.e. performing text classification [2,8,10]. Our goal is to identify the best performing classification model for Czech language. We present a comprehensive comparison study of selected models, text representations, and feature selection techniques on a collection of datasets with different numbers of documents, numbers of categories, and varying category sizes. We conclude the work with the recommendation for the best performing models.
Prediction of the Prognosis of Ischemic Stroke Patients after Intravenous Thrombolysis Using Artificial Neural Networks
Authors: Cheng Chun-An  , Lin Yi-Ching  , Chiu Hung-Wen
Published: February 2025

In general, around 80% of all strokes are ischemic. Take caring of the patients who have suffered an ischemic stroke is both expensive and time consuming. It is known that thrombolysis in patients with ischemic stroke can reduce the disability and increase the survival rate, however some patients still have poor outcomes. Therefore, to be able to predict the outcome of ischemic stroke patients after intravenous thrombolysis would be useful while making clinical decisions. In this study, we collected retrospective data of 82 ischemic stroke patients who received intravenous thrombolysis from July 2005 to June 2012 in Tri-service General Hospital. Of these patients, 10 died within 3 months, and only 36 patients made a good recovery. We used STATISTICA 10 software to select the best artificial neural network. The parameters of model 1 were age, blood sugar, onset to treatment time, National Institute of Health Stroke Scale (NIHSS) score, dense cerebral artery sign, and old stroke to predict 3-month outcomes. The parameters of model 2 were age, onset to treatment time, NIHSS score, hypertension, heart disease, diabetes and old stroke to predict the 3-month prognosis. The sensitivity, specificity and accuracy for model 1 were 77.78%, 80.43% and 79.27%, respectively, and 94.44%, 95.65% and 95.12%, respectively, for model 2. Artificial neural networks are used to establish prediction models with good performance to predict thrombolysis outcomes. These models may be able to help physicians to discuss and explain the likely outcomes to patients and their families before thrombolysis treatment.
A Framework for Privacy-preserving Classification of Next-generation PHR data
Authors: Koufi Vassiliki  , Malamateniou Flora  , Prentza Andriana  , Vassilacopoulos George
Published: February 2025

Personal Health Records (PHRs), integrated with data from various sources, such as social care data, Electronic Health Record data and genetic information, are envisaged as having a pivotal role in transforming healthcare. These data, lumped under the term ‘big data’, are usually complex, noisy, heterogeneous, longitudinal and voluminous thus prohibiting their meaningful use by clinicians. Deriving value from these data requires the utilization of innovative data analysis techniques, which, however, may be hindered due to potential security and privacy breaches that may arise from improper release of personal health information. This paper presents a HIPAA-compliant machine learning framework that enables privacy-preserving classification of next-generation PHR data. The predictive models acquired can act as supporting tools to clinical practice by enabling more effective prevention, diagnosis and treatment of new incidents. The proposed framework has a huge potential for complementing medical staff expertise as it outperforms the manual inspection of PHR data while protecting patient privacy.
Gamification for mHealth – A Review of Playful Mobile Healthcare
Authors: Von Bargen Tobias  , Zientz Christoph  , Haux Reinhold
Published: February 2025

Mobile technology is an everyday companion, which can be utilized to support and even to enable prevention, diagnostics and therapy in healthcare. Repetitive tasks, particularly when managing unwanted circumstances such as coping with chronic diseases, could be exhausting. Nevertheless, the patients' compliance is needed especially in context of these diseases. Therefore, gamification as a tool for transforming bothersome tasks into rewarding experiences could help to overcome this burden. In this paper the authors present a literature review, which examines the state of the art of gamification in mobile healthcare.
Integrated Tele-radiological and Tele-pathological Evaluation of Pulmonary Grafts for Reducing the Rate of Injured and Diseased Grafts, in Lung Transplant
Authors: Mammas Constantinos S.  , Kavantzas Nikolaos  , Geropoulos Spyros  , Chanjiioannou Achilles  , Doteiras Constantinos  , Saatsakis George  , Lemonidou Chryssa  , Patsouris Eustratios
Published: February 2025

Aim: Feasibility and reliability assessment of the integrated Tele-Radiological (TRE) and Tele-Pathological (TPE) evaluation of the Pulmonary Graft (PG) on Telemedicine Systems, in Lung Transplant (LT). Material and Methods: Sensitivity-specificity by simulating TRE of PG on 15 MR thoracic images by two radiologists and TPE by 20 specialists based on a total of 100 human PG digital images. Results: Integration of TRE and TPE of PG showed an accuracy of 94.1% for hematomas and 97.1% for neoplastic identification. Conclusion: Integrated TRE and TPE of PG is feasible and reliable for reducing the rate of injured and diseased PG in LT.
Telemedicine Systems in Organ Transplantation: A Feasibility and Reliability Study of the Integrated Teleradiological and Tele-Pathological Evaluation of the Cardiac Graft
Authors: Mammas Constantinos S.  , Geropoulos Spyros  , Kavantzas Nikolaos  , Chanjiioannou Achilles  , Doteiras Constantinos  , Saatsakis George  , Lemonidou Chryssa  , Patsouris Eustratios
Published: February 2025

Aim. Feasibility and reliability of the integrated Tele-Radiological (TRE) and Tele-Pathological (TPE) evaluation of the Cardiac Graft (CG) on Telemedicine Systems. Material and Methods: Sensitivity-specificity analysis by a simulation of TRE of CG on 15 MR thoracic images by two radiologists and of TPE by 20 specialists based on total 100 human CG digital images, assessing injuries/trauma and lesions. Results: Integration of TRE and TPE of CG for remote diagnosis showed an accuracy for: injuries/trauma/hematoma=90.9–100%, and non-neoplastic lesions=94.3%. Conclusion: Integration of TRE and TPE of CG is feasible and reliable for Heart Pre-Grafting and Pre-Transplant decision support and planning.
Development of Medical Ontology “HoPRO” (Hospital PRocess Ontology)
Authors: Keramaris Vasilios A.  , Danas Konstantinos
Published: February 2025

Current research in health informatics should provide the techniques and tools that will enable the development of an efficient hospital information ecosystem. The different information systems (IS) will be able to efficiently communicate with each other and provide a patient oriented environment. It is thus important to provide a clear understanding of this ecosystem during the analysis phase. The solution is to develop a hospital information systems ontology that will provide the infrastructure for a clear understanding of this ecosystem and thus lead to the development of systems that will be able to work efficiently with each other. This ontology is developed here and its value is demonstrated through a case study.
Experience of Development of the National Surgical Interventions Coding System in Russia
Authors: Shtevnina Julia I.  , Rauzina Svetlana E.  , Shvyrev Sergey L.  , Zarubina Tatyana.V.
Published: February 2025

The paper discusses development issues of surgical procedures coding systems for use at the national and international levels within the health information systems. The work was carried out using the Russian and foreign experiences, including international standard ISO/FDIS 1828:2012. The development system structure contains basic categories of medical entities (axes): surgical deed and surgical subdeed, objects, site and interventional equipment. Abdominal surgeries (528 procedures) were entered in the coding system database and structured according defined categories.
Age Management and Sustainable Careers for the Improvement of the Quality of Ageing at Work
Authors: Marcaletti Francesco
Published: February 2025

Prolonging working careers by increasing the statutory age for retirement has become compulsory in most Western societies in order to tackle the shrinking of the labour force, preserve economic productivity, foster knowledge transfer and reduce the risks of financial imbalances in social security systems. This imperative currently results in working careers that already exceed 40 years and come to an end after the age of 65 (e.g. in Italy). Over the next few decades, both career length and retirement age are expected to rise. Thus, creating more inclusive workplaces by increasing their quality is the precondition of a win-win situation for both employers and employees, regardless of age. A request for support in the development of sustainable careers from both private and public labour organisations has led to innovating the mainstream methodologies and research tools in the field of age management. Based on the key elements of the mainstream “work ability concept” – i.e. health, competencies, motivation and work organisation – the Quality of Ageing at Work questionnaire (QAW-q), developed by a team from the WWELL Research Centre, broadens its perspective by surveying elements bridging intra-organisational dimensions and which affect employees' conditions and external socio-institutional constraints: i.e. work-life balance, economic stability, professional identity and relationships in the workplace. The QAW-q is designed to analyse the influence of the different meanings of age (chronological age, seniority within the company and in the labour market) and correlate them with the different dimensions at individual and organisational levels; all these dimensions are weighted by the effect exerted by the passage of time. The results of the QAW-q survey, taken by employees of both private and public companies, serve as a basis for the implementation of measures addressing all the relevant dimensions of the human resource management cycle.
Work, Retirement and Health: An Analysis of the Socio-economic Implications of Active Ageing and their Effects on Health
Authors: Lucifora Claudio  , Cappellari Lorenzo  , Cottini Elena
Published: February 2025

In recent decades many industrialized countries experienced a substantial decrease in the working age population as a proportion of the total population. Demographic factors, such as declining fertility and increasing life expectancy, as well as institutional factors, such as the generosity of state-funded pension, both determined a change in the age distribution and a marked anticipation in retirement age. A lively debate among researchers and policymakers is currently taking place in Europe, as there are concerns that working longer may not be healthy for workers, or that it will be hard for older workers to get a job. Conversely, if working longer leads to higher employment rates and better health conditions, policies aimed at increasing peoples' retirement age may represent a “win-win” strategy both in terms of fiscal policies as well as in terms of healthy life expectancy. Unfolding this controversy is essentially an empirical matter which is also of paramount importance for public policy. In this study we first review the main findings of the socio-economic literature. Second, we highlight the main research avenues that are currently investigated in the area of Social Science and Health Economics at the Universitá Cattolica. Finally we discuss the policy implications and the prospects for future research.
Lifestyles and Ageing: Targeting Key Mechanisms to Shift the Balance from Unhealthy to Healthy Ageing
Authors: Grassi Claudio  , Landi Francesco  , Delogu Giovanni
Published: February 2025

The increase in life expectancy has dramatically enhanced the prevalence of age-related chronic diseases resulting in growing costs for both society and individuals. Identification of strategies contributing to healthy ageing is thus one of the major challenges of the coming years. Lifestyle has a primary role among non-genetic factors affecting health and lifespan. In particular, nutrition, mental and physical activity impact the molecular and functional mechanisms whose alterations cause the major age-related diseases. A better understanding of mechanisms underlying the beneficial action of correct lifestyles is useful to develop interventions aimed at preventing and/or delaying the onset of chronic degenerative diseases, to identify high-risk populations who could be targeted in intervention trials as well as to identify novel biomarkers of healthy ageing. A multidisciplinary team of basic scientists and clinicians operating at the Catholic University Medical School in Rome is actively working on this topic to determine the ability of healthy lifestyles to promote active ageing and counteract the major age-related diseases affecting brain health, musculoskeletal function and gut microenvironment. This chapter summarizes our strategic approaches, the major results we obtained so far and the main experimental and translational perspectives.
Application areas of multi-user virtual environments in the healthcare context
Authors: Ghanbarzadeh Reza  , Ghapanchi Amir Hossein  , Blumenstein Michael
Published: February 2025

This study conducts a systematic literature review on the application of the three-dimensional virtual worlds (3DVW) in healthcare context. During the past decade, 3DVWs have emerged as a cutting edge technology that has much to offer to the healthcare sector. Our systematic review began with an initial set of 1088 studies published from 1990 to 2013 which have used 3DVWs for the healthcare specific purposes. We found a variety of areas of application for the 3DVWs in healthcare, and categorised them into the following categories: education, treatment, evaluation, lifestyle and simulation. The presented big picture of application areas of 3DVWs in this study can be very valuable and insightful for the researchers and healthcare community.
An Approach to Compare Bio-Ontologies Portals
Authors: Grosjean Julien  , Soualmia Lina F.  , Bouarech Khedidja  , Jonquet Clément  , Darmoni Stéfan J.
Published: February 2025

Background: main biomedical information retrieval systems are based on controlled vocabularies and most specifically on terminologies or ontologies (T/O). These classification structures allow indexing, coding, annotating different kind of documents. Many T/O have been created for different purposes and it became a problem for finding specific concepts in the multitude of existing nomenclatures. The NCBO (National Center for Biomedical Ontologies) BioPortal and the CISMeF (Catalogue et Index des Sites Médicaux de langue Française) HeTOP projects have been developed to tackle this issue.
Multi-provider Architecture for Cloud Outsourcing of Medical Imaging Repositories
Authors: Godinho Tiago Marques  , Bastião Silva Luís A.  , Costa Carlos  , Oliveira José Luís
Published: February 2025

Over the last few years, the extended usage of medical imaging procedures has raised the medical community attention towards the optimization of their workflows. More recently, the federation of multiple institutions into a seamless distribution network has brought hope of increased quality healthcare services along with more efficient resource management. As a result, medical institutions are constantly looking for the best infrastructure to deploy their imaging archives. In this scenario, public cloud infrastructures arise as major candidates, as they offer elastic storage space, optimal data availability without great requirements of maintenance costs or IT personnel, in a pay-as-you-go model. However, standard methodologies still do not take full advantage of outsourced archives, namely because their integration with other in-house solutions is troublesome. This document proposes a multi-provider architecture for integration of outsourced archives with in-house PACS resources, taking advantage of foreign providers to store medical imaging studies, without disregarding security. It enables the retrieval of images from multiple archives simultaneously, improving performance, data availability and avoiding the vendor-locking problem. Moreover it enables load balancing and cache techniques.
CIPROS – A checklist with items for a patient registry software system
Authors: Lindoerfer Doris  , Mansmann Ulrich
Published: February 2025

Patient registries are an important instrument in medical research. Their implementation uses complex software systems to meet the wide spectrum of challenges. There is a wide range of systems available and a critical appraisal of their architecture is needed. Therefore, we developed, based on a systematic review of the literature, a checklist for patient registry software systems (CIPROS) which is organised in 67 items and 10 sections. CIPROS supports developers to assess requirements of an existing system. It also supports the reporting of patient registry software system descriptions in papers and it can be a first step to create standards for patient registry software systems.
Towards a semantic PACS: Using Semantic Web technology to represent imaging data
Authors: Van Soest Johan  , Lustberg Tim  , Grittner Detlef  , Marshall M. Scott  , Persoon Lucas  , Nijsten Bas  , Feltens Peter  , Dekker Andre
Published: February 2025

The DICOM standard is ubiquitous within medicine. However, improved DICOM semantics would significantly enhance search operations. Furthermore, databases of current PACS systems are not flexible enough for the demands within image analysis research. In this paper, we investigated if we can use Semantic Web technology, to store and represent metadata of DICOM image files, as well as linking additional computational results to image metadata. Therefore, we developed a proof of concept containing two applications: one to store commonly used DICOM metadata in an RDF repository, and one to calculate imaging biomarkers based on DICOM images, and store the biomarker values in an RDF repository. This enabled us to search for all patients with a gross tumor volume calculated to be larger than 50 cc. We have shown that we can successfully store the DICOM metadata in an RDF repository and are refining our proof of concept with regards to volume naming, value representation, and the applications themselves.
A Computational Infrastructure for Evaluating Care-coordination and Telehealth Services in Europe
Authors: Natsiavas Pantelis  , Filos Dimitiris  , Maramis Christos  , Chouvarda Ioanna  , Schonenberg Helen  , Pauws Steffen  , Bescos Cristina  , Westerteicher Christoph  , Maglaveras Nicos
Published: February 2025

This paper presents the computational framework that is employed for the analysis of health related key drivers and indicators within ACT, a project aiming to improve the deployment of Care Coordination and Telehealth services/programmes across Europe, through an iterative evidence collection-evaluation-refinement process. An open-source solution is proposed, combining a series of established software technologies. The paper focuses on technical aspects of the framework and presents a worked example of a usage scenario.
Disturbing or Facilitating? – On the Usability of Swedish eHealth Systems 2013
Authors: Scandurra Isabella  , Hägglund Maria  , Persson Anne  , Åhlfeldt Rose-Mharie
Published: February 2025

As many evaluations show, healthcare organizations do not accomplish the intended effects of their eHealth systems due to inadequate usability. On behalf of the Swedish Ministry of Health and Social Affairs, the usability of current eHealth systems in Swedish healthcare have been analysed from the perspective of healthcare and social service professionals. The objective of the study was to report on current problems, potential solutions as well as to relate these to research in relevant areas. Using a participatory approach, seven workshops were held where researchers within health informatics collaborated with staff from different care providers, representatives of the national associations of health and social care professionals and the national eHealth system vendor organization. This paper presents a foundation for further development of eHealth systems, condensed into 10 issues that the Swedish health and social care professionals find imperative to improve. The study emphasizes that the development of eHealth systems is always a matter of organizational and process development and must be integrated into the care practice improvement process. Further, based on the findings, some identified challenges are discussed.
The Evolution of Personal Health Records and their Role for Self-Management: A Literature Review
Authors: Johansen Monika A.  , Henriksen Eva
Published: February 2025

A literature review has been conducted to gain an overview of the evolution of personal health records (PHR) and their role for self-management. This paper presents this evolution overview, based on review of abstracts from relevant publications in addition to full-text review of reviews. A search in the Medline database for ‘PHR’ and ‘self-management’ identified 62 unique publications. Of these, 90 % met the inclusion and exclusion criteria. The number of studies per year has increased heavily since the PHR and self-management context originated in the early 1990s. Nine studies described messaging functionality, eleven studies described shared access functionalities, and four described both. However, the general evidence remains sparse to document the value of PHR for self-management. Most PHRs are not based on patients' needs and do not support self-management. To be adopted by the users, and to be useful for self-management, PHRs need to be integrated with physicians' EHR systems and provide shared access both ways in addition to secure e-mail communication and educational modules.
Animal Testing using 3D Microwave Tomography System for Breast Cancer Detection
Authors: Lee Jong Moon  , Son Sung Ho  , Kim Hyuk Je  , Kim Bo Ra  , Choi Heyng Do  , Jeon Soon Ik
Published: February 2025

The three dimensional microwave tomography (3D MT) system of the Electronics and Telecommunications Research Institute (ETRI) comprises an antenna array, transmitting receiving module, switch matrix module and a signal processing component. This system also includes a patient interface bed as well as a 3D reconstruction algorithm. Here, we perform a comparative analysis of image reconstruction results using the assembled system and MRI results, which is used to image the breasts of dogs. Microwave imaging reconstruction results (at 1,500MHz) obtained using the ETRI 3D MT system are presented. The system provides computationally reliable diagnosis results from the reconstructed MT Image.
A novel SVM-ID3 Hybrid Feature Selection Method to Build a Disease Model for Melanoma using Integrated Genotyping and Phenotype Data from dbGaP
Authors: Son Yeşim Aydın  , Yücebaş Sait Can
Published: February 2025

The relations between Single Nucleotide Polymorphism (SNP) and complex diseases are likely to be non-linear and require analysis of the high dimensional data. Previous studies in the field mostly focus on genotyping and effects of various phenotypes are not considered. To fill this gap a hybrid feature selection model of support vector machine and decision tree has been designed. The designed method is tested on melanoma. We were able to select phenotypic features such as moles and dysplastic nevi, and SNPs those maps to specific genes such as CAMK1D. The performance results of the proposed hybrid model, on melanoma dataset are 79.07% of sensitivity and 0.81 of area under ROC curve.
A Preference-based framework for medical decision making
Authors: Sedki K.  , Duclos C.  , Lamy J.B.
Published: February 2025

Medical decision making, such as choosing which drugs to prescribe, requires to consider mandatory constraints, e.g. absolute contraindications, but also preferences that may not be satisfiable, e.g. guideline recommendations or patient preferences. The major problem is that these preferences are complex, numerous and come from various sources. The considered criteria are often conflicting and the number of decisions is too large to be explicitly handled. In this paper, we propose a framework for encoding medical preferences using a new connective, called ordered disjunction symbolized by ~×. Intuitively, the preference “Diuretic~×Betablocker means: “Prescribe a Diuretic if possible, but if this is not possible, then prescribe a Betablocker”. We give an inference method for reasoning about the preferences and we show how this framework can be applied to a part of a guideline for hypertension.
Vision and Challenges of a Cartographic Representation of Expert Medical Centres for Rare Diseases
Authors: Storf Holger  , Hartz Tobias  , Tegtbauer Niels  , Pfeiffer Wulf  , Schmidtke Joerg  , Graessner Holm  , Wagner Thomas  , Ückert Frank
Published: February 2025

In Germany, many highly specialized facilities for the diagnosis and treatment of rare diseases exist. However it is quite difficult for patients to find the required specialists because of the fact that information on the internet is scattered and of variable quality. The German Federal Ministry of Health initiated several activities to address this issue. This paper describes the project se-atlas which aims at presenting the medical care options for people with rare diseases on an interactive map and in a list format. Potential users of this resource will be patients and their relatives, doctors, non-medical personnel and the general public. Most information derived from the data sets is already listed in ORPHANET. The project's primary goals are to steadily increase the data set and to ensure its quality. This paper presents the goals and measures taken in this project. It gives an overview of the challenges implementing such a new service and the visions behind.
Computational Study of the Potential role of Chemotaxis in Enhancing the cell Seeding of Tissue Engineering Scaffolds
Authors: Robu Andreea  , Stoicu-Tivadar Lacramioara  , Robu Nicolae  , Neagu Adrian
Published: February 2025

Chemotaxis is a morphogenetic mechanism that consists of cell movement along a concentration gradient. Since cell adhesion is essential for cell migration and tissue integrity, and morphogenesis also involves chemotactic cell movement, we conducted a study of the influence of adhesion and chemotaxis on cell seeding of scaffolds. We built three-dimensional models of a cell aggregate, respectively of a cell suspension, in the vicinity of a porous scaffold that contained a chemoattractant substance. We assumed that the chemoattractant is released at a steady rate, creating a constant concentration gradient. To study the interplay of adhesion and chemotaxis, we simulated cell seeding using an algorithm based on the Metropolis Monte Carlo method. We varied the chemotactic strength, which describes the extent to which cells tend to move along the chemoattractant gradient. We found that, for the same energetic and geometric conditions, the distribution of cells within the scaffold hinges on the chemotactic strength. Our study suggests that cell seeding of tissue engineering scaffolds may be enhanced by incorporating chemoattractants of controlled release rate into the scaffold.
Concept for Linking De-identified Biomedical Research Data Using a Study Participant Management System
Authors: Stahmann Alexander  , Bauer Christian R.K.D.  , Schwanke Jens
Published: February 2025

Biomedical research projects show an increasing demand of large numbers of participants from different recruiting centers to achieve statistically significant results. The collected types of data are stored in distributed databases and are linked to the participant by different non-resolvable identifiers (layered pseudonyms) for de-identification. To ensure the quality of the gathered data, regular quality assurance analyses are required at each local center. Because of the distributed databases and layered pseudonyms the analyses can only be achieved manually. Therefore, the process is error-prone and laborious. The objective of this paper is to propose a solution concept to automate the manual process by using a local study participant management system. It orchestrates the process and enables the quality assurance analyses within a clinical data warehouse.
Perceived usefulness of a usability issues reporting form to help understand “usability-induced use-errors”: a preliminary study
Authors: Marcilly Romaric  , Boog Cesar  , Leroy Nicolas  , Pelayo Sylvia
Published: February 2025

The Medical Device regulation requires manufacturers to anticipate and prevent risks of use errors of their medical device. However, manufacturers experience difficulties to understand the concept of “usability-induced use-errors”. Based on a “usability framework” aiming at describing the relationship between usability design principles, usability flaws, usage problems, and outcomes, a usability evaluation reporting form had been designed to support understanding the use-error concept. This paper reports the preliminary evaluation of the perceived usefulness of this form. Results show that manufacturers found helpful the presentation of the results of a usability evaluation through this form for it supports the understanding of the usability origins and the consequences of use-errors. Even if the use of this reporting form should be made easier as usability experts experience difficulties to fill it, it seems a promising way to clearly present “usability-induced use-errors” to manufacturers.
eHealth-as-a-Service (eHaaS): A data-driven decision making approach in Australian context
Authors: Black Alofi  , Sahama Tony  , Gajanayake Randike
Published: February 2025

A commitment in 2010 by the Australian Federal Government to spend $466.7 million dollars on the implementation of personally controlled electronic health records (PCEHR) heralded a shift to a more effective and safer patient centric eHealth system. However, deployment of the PCEHR has met with much criticism, emphasised by poor adoption rates over the first 12 months of operation. An indifferent response by the public and healthcare providers largely sceptical of its utility and safety speaks to the complex sociotechnical drivers and obstacles inherent in the embedding of large (national) scale eHealth projects. With government efforts to inflate consumer and practitioner engagement numbers giving rise to further consumer disillusionment, broader utilitarian opportunities available with the PCEHR are at risk. This paper discusses the implications of establishing the PCEHR as the cornerstone of a holistic eHealth strategy for the aggregation of longitudinal patient information. A viewpoint is offered that the real value in patient data lies not just in the collection of data but in the integration of this information into clinical processes within the framework of a commoditised data-driven approach. Consideration is given to the eHealth-as-a-Service (eHaaS) construct as a disruptive next step for co-ordinated individualised healthcare in the Australian context.
Evaluation of a Clinical Simulation-based Assessment Method for EHR-platforms
Authors: Jensen Sanne  , Rasmussen Stine Loft  , Lyng Karen Marie
Published: February 2025

In a procurement process assessment of issues like human factors and interaction between technology and end-users can be challenging. In a large public procurement of an Electronic health record-platform (EHR-platform) in Denmark a clinical simulation-based method for assessing and comparing human factor issues was developed and evaluated. This paper describes the evaluation of the method, its advantages and disadvantages. Our findings showed that clinical simulation is beneficial for assessing user satisfaction, usefulness and patient safety, all though it is resource demanding. The method made it possible to assess qualitative topics during the procurement and it provides an excellent ground for user involvement.
Content-Based Analysis Method for Sentiment Scoring in Microblogging Mining
Authors: Mohd Sharef Nurfadhlina  , Haghanikhameneh Fartash
Published: February 2025

The proliferation of microblogging services present a new collection of obstacles and opportunities to automatically extract and analyze the content to understand the expressed sentiments. Several approaches are introduced ranging from traditional information extraction techniques, incorporation of machine learning and utilization of lexicons. However, existing works mainly introduced lexicon as the pair of certain dataset which resulted to limited analytical coverage when used in unseen dataset. Therefore, this research aims to investigate the performance of a composite lexicon in terms of accuracy. A new method called Adverb Effect on Adjective (AEA) is also introduced to calculate the intensity of the sentiment. An application called SentiMiner is developed based on these methods and implemented to analyze Facebook posts. It is observed that the combination of the AEA method with the composite lexicon has achieved the highest accuracy when compared against benchmarking algorithms when tested on the Amazon product review dataset. The theme extraction experiment has also shown that the SentiMiner's approach has defeated the AlchemyAPI algorithm when used on the Stanford Sentiment dataset. Therefore, it is concluded that wide coverage of lexicon and sentiment polarity strength as the content-based analysis method can significantly improve the accuracy of sentiment scoring in microblogging mining.
Systematic Mapping Study in Automatic Test Case Generation
Authors: Mohi-Aldeen Shayma Mustafa  , Deris Safaai  , Mohamad Radziah
Published: February 2025

Test case generation is a painstaking task in software testing and has a strong influence on the efficiency and the effectiveness of software tests. It is an important subject in software testing research that has led to the development of several tools and approaches over the decades. This paper presented a systematic mapping study to get an overview about the current studies of distinct techniques for generation of test cases automatically. The techniques presented in this paper are random-based methods, search-based methods and data mining-based methods. Each technique is explored briefly to give the basic idea behind it. In general, the paper's objective is to give an up-to-date introduction and short review of the research in generation of test cases automatically. Systematic mapping study is the process of finding and collecting as much literature as possible, provides a structure of the type of research reports and the results that have been published by categorizing them depending on specific search questions to provide a background for further research. This study was based on a comprehensive set of 85 papers published in conference and journals between 2002 and 2013 obtained after using multistage selection criteria in the field of automatic test cases generation. The results from our systematic mapping study include information about the researches techniques used to generate test cases automatically and types of coverage within a specific period that can help researchers in this field through providing an overview of the current researches in this area. Furthermore, it may serve as a first step towards a great explanation of the topic with the help of systematic literature review.
A principled approach to the implementation of argumentation models
Authors: van Gijzel Bas  , Nilsson Henrik
Published: February 2025

Argumentation theory combines philosophical concepts and computational models to deliver a practical approach to reasoning that handles uncertain information and possibly conflicting viewpoints. This paper focuses on the structured approach to argumentation that incorporates domain specific knowledge and argumentation schemes. There is a lack of implementations and implementation methods for most structured models. This paper shows how taking a principled approach, using the programming language Haskell, helps addressing this problem. We construct a framework for developing structured argumentation models and translations between models (given intertranslatability of models). We furthermore provide a methodology to quickly test and formally prove desirable properties of such implementations using a theorem prover. We demonstrate our approach on the Carneades argumentation model and Dung's abstract argumentation frameworks, implementing both the models and a translation from Carneades into AFs. We then provide implementations of correspondence properties and an initial formalisation of Dung's AFs into a theorem prover. The final result is a verified pipeline from the structured model Carneades into existing efficient SAT-based implementations of Dung's AFs.
An Argumentation-based Support System for Requirements Reconciliation
Authors: Mirbel Isabelle  , Villata Serena
Published: February 2025

Requirements engineering is an essential step of the software development process during which the behavior of a software system is defined. A lot of artifacts are created at this stage of the development process, and stakeholders need to be supported in managing requirements' consistency and evolution over time. In this paper, we present ArgRE, an argumentation-based system to be used by stakeholders to structure complex goal-based requirements, and maintain their consistency over time. In particular, we rely on meta-argumentation, where requirements are represented as arguments, and the standard Dung-like argumentation framework is extended with the relations holding among goal-based requirements.
Syntactic N-gram Collection from a Large-Scale Corpus of Internet Finnish
Authors: Kanerva Jenna  , Luotolahti Juhani  , Laippala Veronika  , Ginter Filip
Published: February 2025

In this paper, we report on the development of a large-scale Finnish Internet parsebank, currently consisting of 1.5 billion tokens in 116 million sentences. The data is fully morphologically and syntactically analyzed and it has been used to extract flat and syntactic n-gram collections, as well as verb-argument and noun-argument n-grams. Additionally, distributional vector space representations of the words are induced using the word2vec method. All n-gram collections as well as the vector space models are made available under an open license.
How Relevant is the Distinction between the Original and Translated Texts in General Corpora?
Authors: Vaičenonienė Jurgita
Published: February 2025

General corpora do not always allow an average user to see whether the texts are written by native speakers or are translations, whereas it would be especially convenient to know whether the output of corpus searches reflects language use in originals, translations or a mixture of both. To show the relevance of distinction between the originals and translations, this work aims to investigate how the findings about a particular aspect of language may differ in original and translated Lithuanian. The sub-corpora of original and translated fiction have been retrieved from the Corpus of Contemporary Lithuanian Language and the Parallel Corpus. Corpus-based methods are used to analyse the general characteristics, the word frequency lists and pronoun usage in the two sets of data.
Combining Multiple Foreign Language Speech Recognizers by using Neural Networks
Authors: Rasymas Tomas  , Rudžionis Vytautas
Published: February 2025

This paper proposes a new method for combining multiple foreign language speech recognizers which are adapted to recognize Lithuanian voice commands. The recognizers are combined by using neural network. The type or structure of speech recognizer is not important for method but at least it must return recognized command and recognition hypothesis. These two parameters are used to train neural network and to make the final decision about recognized command. The proposed method showed that recognition accuracy was increased by 4.94 % as compared to the best single recognizer.
Influencer Detection Approaches in Social Networks: A Current State-of-the-Art
Authors: Puigbò Jordi-Ysard  , Sánchez-Hernández Germán  , Casabayó Mònica  , Agell Núria
Published: February 2025

In this paper a literature review on approaches for influencer detection in social networks is conducted. The paper contributes with a comparison between the three most popular influencer detection tools, with an analysis of their methods and algorithms and with a list of proposed extending capabilities.
Web pattern detection for Business Intelligence with data mining
Authors: Palomino Arturo  , Gibert Karina
Published: February 2025

Finding Internet browsing patterns is a current hot topic, with expected benefits in many areas, marketing and business intelligence among others. Discovering user's internet habits might improve fields like chained-publicity, e-commerce and media optimization. The large amount of data contained in log files that is currently being analyzed to find user's patterns require efficient and scalable data mining solutions. This paper proposes an algorithm to identify the most frequent route followed by Internet users, based on a specific combination of simple statistical and vectorial operators that provides exact solution with a really cheap computational cost. In the paper, the performance is compared with other two algorithms and an application to a real case study in the field of bussiness intelligence and chained publicity is presented.
Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns
Authors: Paz-Ortiz Iván  , Nebot Àngela  , Mugica Francisco  , Romero Enrique
Published: February 2025

In the present work, the Fuzzy Inductive Reasoning methodology (FIR) is used to improve coherence among beat patterns, structured in a musical A-B form. Patterns were generated based on a probability matrix, encoding a particular musical style, designed by experts. Then, all possible patterns were generated and the most probables were selected. A-B musical forms were created and the coherence of the sequence was evaluated by experts by using linguistic quantities. The output pairs (A-B pattern and its qualification) were used as inputs to train a FIR system, and the variables that produce “coherent” outputs and the relations among them where identified as rules. The extracted rules are discussed in the context of the musical form and from the psychological perception.
Urban Data Querying: The City of Petrozavodsk Waste Problem
Authors: Ianiuk Olga  , Novikov Boris
Published: February 2025

Urban data mining is a promising tool for understanding complicated city systems. Indeed, data in urban spaces acquired from sensors and the web provides insights which, when used correctly, help city operation and development. Hopefully, it must improve the quality of citizens' life drastically in the present and future. However, data specifics involve particular difficulties in data management which results in its limited usage among specialists. Development and enhancement of techniques and tools that is used for data operation while tackling real urban challenges allow one both gain wider acceptance of such methods and increase impact of decisions made.
Meta-Modelling In Document-Oriented Databases
Authors: Okockis Vilius  , Bukauskas Linas
Published: February 2025

With the appearance of massive databases the ever changing data sets are becoming increasingly important. Storage of massive data sets is always led by changes issued not only to actual data but meta-data that describes the structure. Meta-data is the foremost element to understand the information in databases when designing data storage and its change over long period of time. Thus there is no higher level system to comprehend unstructured data that falls into document-oriented databases. We present the Meta-model that documents itself and document, manages, and creates by using generic or universal meta-modelling constructs. The introduced method allows a flexible document structure that evolves itself over the time, reduces model creation time on the application level. We implement a novel meta-model prototype where the complexity of a model growth is proportional to its expansion scope.
Relating Concept Theory to Computer Science
Authors: Locuratolo Elvira  , Palomäki Jari
Published: February 2025

An algorithm is introduced in concept theory to design concept structures related to object classes/categories supported by computer systems. Although concept theory has a formal background, these algorithms are not yet available. The approach is supported by a methodology which starts from algorithms of object decomposition proposed in computer science and reaches an algorithm of concept construction related to class/categories of objects.
Development of braided fiber-based stents
Authors: Rebelo Rita  , Vila Nívea  , Fangueiro Raul  , Carvalho Sandra  , Henriques Mariana
Published: February 2025

The mechanical behavior of stents is one of the important factors involved in ensuring their function in maintaining an open blood vessel. This study aims to study the development of different kinds of fiber-based stents, using braiding technology. Moreover, the impact of braiding angle and mandrel's diameter in the mechanical behavior of the stent is also analyzed. Furthermore, stent's mechanical properties like radial and longitudinal compression, bending and porosity will be measured and discuss. The results show that fibrous stents present suitable mechanical properties, when compared to those of commercial ones, and may reduce the disadvantages of commercial metallic stents.
Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach
Authors: Brahim Abdelbasset  , Górriz Juan Manuel  , Ramírez Javier  , Khedher Laila
Published: February 2025

The analysis of 3D SPECT brain images requires several pre-processing steps such as intensity normalization and brain feature extraction. In this sense, a new method for intensity normalization of123I-ioflupane-SPECT (DaTSCAN) brain images based on minimization of the Mean Square Error (MSE) between the Gaussian Mixture Model (GMM)-based extracted features from each subject image and a template in the so-defined non-specific region is derived. Our approach to feature extraction consists of using the set of parameters that define the template features, such as weights, covariance matrices and mean vectors to model the remaining images by reducing, consequently their dimensionality. The proposed method is compared to a widely used approach such as specific-to-non-specific binding ratio normalization. This comparison is performed on a DaTSCAN image database comprising analysis and classification stages for the development of a computer aided diagnosis (CAD) system for Parkinsonian syndrome (PS) detection.