bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic Disorders of Calcium, Phosphorus, and Bone Homeostasis
Authors: Root Allen W.
Published: February 2025

In “Genetic Disorders of Calcium, Phosphorus, and Bone Homeostasis” the mechanisms that regulate calcium and phosphorus metabolism and bone formation, resorption, strength, and resilience are discussed. The physiologic function and roles of vitamin D metabolites, parathyroid hormone, calcitonin, and other factors (e.g., phosphatonins, receptor activator of nuclear factor kappa B ligand, osteoprotegerin, et cetera) are presented. The functional effects of osteoblasts, osteocytes, and osteoclasts upon bone matrix and hydroxyapatite and their roles in bone development and maintenance of bone strength are described. The roles of alkaline phosphatase, collagen, non-collagenous proteins (e.g., osteocalcin, osteonectin, small integrin-binding ligand, N-linked glycoproteins such as matrix extracellular glycoprotein and dentin matrix protein that bind avidly to hydroxyapatite, the calcium phosphate crystal) in the maintenance of bone integrity and strength are examined. Genetic disorders resulting in hypocalcemia, hypercalcemia, or abnormalities of bone mineralization are then described. Variants of genes that regulate development of the parathyroid glands, synthesis or biologic effectiveness of parathyroid hormone, metabolism of vitamin D, and the calcium sensing receptor may result in hypocalcemia. Mutations in AIRE (Autoimmune regulator) lead to autosomal dominant hypoparathyoidism through dysregulation of the immune system resulting in autoimmune destruction of the parathyroid glands. Among other causes, deleterious variations in genes that regulate the expression of the calcium sensing receptor, differentiation of the parathyroid glands, production of the seven transmembrane, G-protein associated parathyroid hormone receptor, metabolism of vitamin D and continuous gene deletions (e.g., Williams-Beuren syndrome, chromosome 7q11.23) may result in hypercalcemia. Mutations in genes that regulate collagen synthesis and removal, intestinal and renal calcium, phosphorus, and hydrogen transport, and skeletal hydroxyapatite deposition and resorption may result in decreased or excessive bone mineralization – both often manifested clinically by increased bone fragility.
Vietnamese Online Hotel Reviews Classification Bases on Term Features Selection
Authors: Bang Tran Sy  , Haruechaiyasak Choochart  , Sornlertlamvanich Virach
Published: February 2025

This paper aims to present the improved techniques to classify the user's feedbacks on hotel service qualities. The data were mainly collected from online feedback sources by PHP program. The training set was manually tagged as: NEGATIVE, POSITIVE, and NEUTRAL. In total, 2969 Vietnamese language terms were successfully collected. In the first part, the common machine learning techniques like K-Nearest Neighbor algorithm (KNN), Decision Tree, Naive Bayes (NB) and Support Vector Machines (SVM) were applying for classification. In the second part, we enhanced the efficiency of the text categorization by applying feature selection techniques, χ2 (CHI). At the end of the paper, we concluded that the overall performance of general machine learning techniques was significantly improved by applying feature selection.
Supporting Culture-Aware Information Search
Authors: Jaakkola Hannu  , Thalheim Bernhard
Published: February 2025

The importance of information in our daily life is increasing rapidly. Simultaneously the availability of information from different sources has grown exponentially. The progress in data oriented context has grown from traditional approach based on queries to databases to the beneficial use of wide variety of openly available, quite often also non-structured data sources. The complexity of data needs has also increased and solutions are based on combined multi-query results. The development has also taken us towards global context, in which data is used over geographical and cultural borders. Information search is a communication oriented task, in which the cultures of users and meet the culture related aspects of data repositories. A mismatch between the users' national culture based expectations to the behavior of global information services (information system and their user interfaces) is the source of a variety of problems. In our paper we analyse the characteristics of information search and the cultural aspects guiding the behavior of the users of information systems. These two approaches are merged in the form of query-answer profiles. The purpose of the paper is to find guidelines possible to generalize and apply by the developers and users for survival in global information system context.
An Application of Neural Network in Method for Use Case Based Effort Estimation
Authors: Štrba Radoslav  , Štolfa Svatopluk  , Štolfa Jakub  , Vondrák Ivo  , Snášel Václav
Published: February 2025

Effort overruns is common problem in software development. Our main intention is to support estimation by method for classification of use cases. The goal of this paper is to evaluate usage of the feed-forward neural network for the Use Case classification purposes. Experimental results show that the feed-forward neural network classifier, using softmax activation function in the output layer and hyperbolic tangent activation function in the hidden layer, offers the best classification performance.
Tag Suggestions from Social Media Profiles
Authors: Rantanen Petri  , Sillberg Pekka  , Soini Jari  , Jaakkola Hannu
Published: February 2025

Attaching any kind of clue – event, location, person, tag or keyword – to a photo eases the process of searching. Often the problem is that the user feels that it is difficult to think of good tags or that the tagging process is too tedious or cumbersome. At the same time, users use social media daily, and write about topics they feel are important and that they are actively interested in. This paper presents a method for extracting metadata (tag suggestions) from social media profiles and illustrates the use of the tags for photo tagging by means of a web-based photo application.
Optimization of Processes in Multimedia Content Publishing: A Proposal for Architecture Design
Authors: Šumak Boštjan  , Heričko Marjan  , Welzer Družovec Tatjana  , Pušnik Maja
Published: February 2025

Organizations in the publishing field accumulate large amounts of data and store it in different forms of knowledge databases. In the publishing field specifically, various multimedia content presentation is involved, requiring support for contemporary e-book standard formats (e-Pub) as well as traditional standard formats such as HTML, PDF, and others. Publishing organizations must support the same content presentation in various formats in order to meet the needs of their increasingly demanding clients. However, business (and organizational) processes in publishing in the presented case study have little IT support and almost no automation. Successful business flow and a competitive advantage for publishing organizations, especially for SMEs, requires a holistic solution for the optimization of publishing processes, including data/knowledge acquisition, data/knowledge aggregation and the creation of new knowledge based on existing data. Although partial IT solutions are available and can be used to support individual steps in the publishing process, they do not come in an out-of-the box solutions, suitable for adequate publishing processes automation and optimization. Two basic challenges regarding existing solutions available on the market are: (1) they do not provide support for automation or semi automation in the publishing processes, and (2) they are expensive and consequently not acceptable for SMEs. This paper is focused on analyzing publishing work processes and its quality aspects, addressing the automation of all possible process steps: especially the optimization of acquisition, aggregation and building of multimedia content for any device. In addition, a solution built on open source components is proposed as well, supporting the presentation of content in different published formats. Based on a case study, we present the solution's architectural design and analyze standards and technologies, providing an acceptable solution for SME's from an economical point of view, optimizing its work processes to the largest possible extent. A renewed publishing process is proposed and future research directions are also discussed.
Information and Interaction
Authors: Henno Jaak
Published: February 2025

Here are considered information and information growth in interactions of Information Processing Systems (IPS). Information does not exist ‘per se’ – it is always stored in some Information Processing System (living system, social system, business system, administrative/government system etc.). All IPS are finite and can be modelled as Finite State Machines (FSM) with memory. They are connected with each other and interact – exchange messages. Their messages (responses to input queries) reveal to others information about their functioning, thus IPS with more memory learn behaviour, i.e. infer information stored in other, smaller IPS. Thus information in network of connected IPS-s is accumulating in IPS with more memory and smaller IPS become parts of all greater and greater ‘super’ IPS – IPS on the next level of IPS development hierarchy. The whole human society is currently moving into new era – the era of networked Super Information Processing Systems, where main value is information, not material things. The material goods based exchange value – money is replaced by digital currencies, which are based on computer-generated informational structures. But the rules and practices to handle all the time growing informational values are still from era of material values, we do not yet have culture for information era, thus malware and information theft are growing exponentially and this may essentially change our ownership and market-based societal organization.
Dynamic Itemset Mining Under Multiple Support Thresholds
Authors: Abuzayed Nourhan  , Ergenç Belgin
Published: February 2025

Handling dynamic aspect of databases and multiple support threshold requirements of items are two important challenges of frequent itemset mining algorithms. Existing dynamic itemset mining algorithms are devised for single support threshold whereas multiple support threshold algorithms assume that the databases are static. This paper focuses on dynamic update problem of frequent itemsets under MIS (Multiple Item Support) thresholds and introduces Dynamic MIS algorithm. It is i) tree based and scans the database once, ii) considers multiple support thresholds, and iii) handles increments of additions, additions with new items and deletions. Proposed algorithm is compared to CFP-Growth++ and findings are; in dynamic database 1) Dynamic MIS performs better than CFP-Growth++ since it runs only on increments and 2) Dynamic MIS can achieve speed-up up to 56 times against CFP-Growth++.
Characteristics Analysis and Data Mining of Uncertain Influence Based on Power Law
Authors: Tang Ke-Ming  , Yang Hao  , Liu Qin  , Wang Chang-Ke  , Qiu Xin
Published: February 2025

The researches of the traditional cascade events, such as avalanche, sand model, only researched the power-law distribution in the process of all time. In fact, the speed of Virus propagation is different in each time period. In this paper, we can find that the number of infected people behaves as a power-law for Guinea, Liberia and Sierra Leone respectively over different time through our empirical observations. So the government could take different power exponents of the number of infected people as the spread of the disease in different periods for the speed of manufacturing of the drug.
Face Recognition with Single Sample Image per Person Based on Residual Space
Authors: Guo Zhi-Bo  , Yan Yun-Yang  , Wang Yang  , Yuan Han-Yu
Published: February 2025

To improve the performance of face recognition with only one sample per person, a novel method of face recognition based on virtual images with multi-pose and micro expressions is presented here. At first, the quadratic function is used to create the virtual images as training samples, so as to enhance the classification information of single training sample. Then the effective discriminative features are extracted through the Bidirectional two dimensional PCA in the residual space. The influence of different illumination on face recognition was cut down effectively. Experiments on ORL and Yale dataset show the effectiveness of the proposed method and the face recognition rate is improved.
Ricci Flow for Optimization Routing in WSN
Authors: Tang Ke-Ming  , Yang Hao  , Qiu Xin  , Wu Lv-Qing
Published: February 2025

Routing based on geographic transform is appropriate for wireless sensor networks owning to their special characteristics. However, iterative process in most existing methods will cost tremendous energy in the processing of building routing and deeply impact their performance. In order to avoid unnecessary mapping, this paper presents an algorithm based on optimized hyperbolic Ricci flow. Two schemes are proposed through choosing a potential candidate set, which reduce unnecessary iterations immensely. We validate them in our operating system and experiments validate that both schemes are feasible contrasted to the existing methods.
A Cayley Theorem for Regular Double Stone Algebras
Authors: Luo Cong-Wen
Published: February 2025

This paper studies the Cayley's theorem for regular double Stone algebras. We raise the concept of regular ternary class and show that each regular double Stone algebra is isomorphic to a subalgebra of the algebra associated with some regular ternary class of functions over a set, which is analogous to the results for Stone algebras.
A Trapezoidal Fuzzy Multiple Attribute Decision Making Based on Rough Sets
Authors: Lv Zhi-Ying  , Huang Ping  , Zhang Xian-Yong  , Zheng Li-Wei
Published: February 2025

Fuzzy multiple attribute decision making (FMADM) is an efficient way to solve complex systems, and has wide, practical application. This paper studies the FMADM of the trapezoidal fuzzy number. In order to achieve desirable decision making, the similarity measures between two trapezoidal fuzzy numbers is defined, which is based on a new method for ranking fuzzy numbers. A new algorithm is proposed to remove surplus attributes. This algorithm is based on rough sets and the technique for order of preference by similarity to ideal solution (TOPSIS) method; Finally, an example is examined to demonstrate the model's use in practical problems.
ANGELIC Secrets: Bridging from Factors to Facts in US Trade Secrets
Authors: Al-Abdulkarim Latifa  , Atkinson Katie  , Bench-Capon Trevor
Published: February 2025

The ANGELIC (ADF for kNowledGe Encapsulation of Legal Information from Cases) project provided a methodology for implementing a system to predict the outcome of legal cases based on a theory of the relevant domain constructed from precedent cases and other sources. The method has been evaluated in several domains, including US Trade Secrets Law. Previous systems in this domain were based on factors, which are either present or absent in a case, and favour one of the parties with the same force for every factor. Evaluations have, however, suggested that the ability to represent different degrees of presence and absence, and different strengths, could improve performance. Here we extend the methodology to allow for different degrees of presence and support, by using dimensions as a bridge between facts and factors. This new program is evaluated using a standard set of test cases.
Interpreting Agents
Authors: Araszkiewicz Michał  , Zurek Tomasz
Published: February 2025

This paper contributes to the formal research on legal interpretation by presenting a structure of normative agents. Each normative agent consists of a knowledge base, a set of preferences, and certain procedures related to the interpretation conducted by this agent. A part of typology of normative agents is presented. The investigations are illustrated with a model of a real-life example.
Making a Cold Start in Legal Recommendation: An Experiment
Authors: Boer Alexander  , Winkels Radboud
Published: February 2025

Since the OpenLaws portal is envisioned as an open environment for collaboration between legal professionals, recommendation will eventually become a collaborative filtering problem. This paper addresses the cold start problem for such a portal, where initial recommendations will have to be given, while collaborative filtering data is initially too sparse to produce recommendations. We implemented a hybrid recommendation approach, starting with a latent dirichlet allocation topic model, and progressing to collaborative filtering, and critically evaluated it. Tentative conclusion is that giving recommendations, even bad ones, will influence user selections.
Proposal for a Theoretical Framework in Digital Forensics
Authors: Costantini Federico
Published: February 2025

This short paper aims to introduce a theoretical framework in digital forensics based on “Philosophy of Information”. After a preliminary clarification of its key concepts, some general issues concerning “Information Quality” are outlined in digital and cloud forensics. At the end, I offer a few remarks on future researches' perspectives.
Differentiation and Empirical Analysis of Reference Types in Legal Documents
Authors: Waltl Bernhard  , Landthaler Jörg  , Matthes Florian
Published: February 2025

This paper proposes an extensible model distinguishing between reference types within legal documents. It differentiates between four types of references, namely fully-explicit, semi-explicit, implicit, and tacit references.
Competency Recommendations for Advancing Nursing Informatics in the Next Decade: International Survey Results
Authors: Ronquillo Charlene  , Topaz Maxim  , Pruinelli Lisiane  , Peltonen Laura-Maria  , Nibber Raji
Published: February 2025

The IMIA-NIstudents' and emerging professionals' working group conducted a large international survey in 2015 regarding research trends in nursing informatics. The survey was translated into half-a-dozen languages and distributed through 18 international research collaborators' professional connections. The survey focused on the perspectives of nurse informaticians. A total of 272 participants responded to an open ended question concerning recommendations to advance nursing informatics. Five key areas for action were identified through our thematic content analysis: education, research, practice, visibility and collaboration. This chapter discusses these results with implications for nursing competency development. We propose how components of various competency lists might support the key areas for action. We also identify room to further develop existing competency guidelines to support in-service education for practicing nurses, promote nursing informatics visibility, or improve and facilitate collaboration and integration with other professions.
Genetic and Genomic Competencies for Nursing Informatics Internationally
Authors: Mc Cormick Kathleen A.  , Calzone Kathleen A.
Published: February 2025

The majority of health professionals now have genetic and genomic competencies and some are measured by certification standards. Nursing has a proud history of defining roles for nursing in informatics and genetics. In addition, the nursing professional organization, the American Nurses Association, has a Certification Center that has successfully achieved ISO 9001:2008 certification in the design, development, and delivery of global credentialing services which encompasses certification of advanced practice nurses in genetics. ISO 9001:2008 certification is the firmly established global standard for assuring stakeholders of an organization's ability to satisfy quality-related requirements. However, despite the addition of genomics into the Informatics Scope and Standards of Practice, there is a need to define the integration of the genetic, genomics and other omics competencies into the informatics domain, especially the Electronic Health Record. Currently, there are also international and interprofessional activities and organizations that have established or are identifying competencies in genetics and genomics. There remains a need for more international collaborations to build upon the current resources and strategies implemented by several countries, to learn from each other, support each other, and to collaborate to answer questions and reduce duplication of efforts.
Informatics Competencies in Connected Health: Annotated Bibliography
Authors: Goossen William
Published: February 2025

In this book it is of course impossible to be complete on all competencies publications, or all relevant subjects. For that reason the Post Conference Team decided to have some pages of the book reserved for annotations. An annotation is seen as a short reference to another topic or publication, not included in this book, and a brief motivation from one of us, why this might be of interest to the readers.
A Student-Centered Mental Health Virtual Community Needs and Features: A Focus Group Study
Authors: El Morr Christo  , Maule Catherine  , Ashfaq Iqra  , Ritvo Paul  , Ahmad Farah
Published: February 2025

Mental health is a pervasive challenge in the population and especially for university/college students on campuses across North America. Anxiety, stress and depression are on the rise and a scalable, economically sound innovation is essential to address these mental health challenges. The research team has conducted 8 focus groups in April to May 2016 in order to elicit perspectives of students at York University about their online activities and the development of an online mindfulness based Mental Health Virtual Community. This paper explains the main results of the qualitative analysis pertaining to the challenges and benefits of an online mindfulness based Mental Health Virtual Community.
IT for Bending the Healthcare Cost Curve: The High Needs, High Cost Approach
Authors: Keshavjee Karim  , Morrison Douglas  , Mohammed Shams  , Guergachi Aziz
Published: February 2025

Health systems around the world are under tremendous fiscal pressures. Health system inflation continues to outpace GDP growth in most countries. Health system inflation has been resistant to policy measures, to traditional interventions such as productivity enhancing technologies and to optimization of performance metrics such as length of stay (LOS) and wait times. Organizations that are solving the issue are using specific information that individualizes costs per patient, rather than using average costs per case, which is misleading in most important, high cost, situations. In this paper, we propose an architecture for a health information system that not only individualizes costs, but also leverages the learning health system model to drive down costs, while increasing value for patients and the health care system.
The Need for Electronic Health Records in Long-Term Care
Authors: Tharmalingam Sukirtha  , Hagens Simon  , English Sarah
Published: February 2025

Long-term care (LTC) settings serve an important proportion of seniors and vulnerable populations that require 24-hour nursing care. Deployment of interoperable electronic health records (iEHRs) to these settings lag. There is little evidence on the availability of patient information from across the continuum of care. To fill this knowledge gap this study examines the prevalence and nature of information gaps experienced in LTC during patient encounters (n=1050). Overall, more than one-third (34%) of all LTC patient encounters were missing at least one item of information that was needed for the encounter. Approximately 59% of missing information during patient encounters was documented or ordered by a clinician external to the LTC facility; 41% were within the LTC facility itself. These information gaps have an adverse consequence for nearly 3 out of every 10 (31%) patient encounters in LTC. Extending iEHRs to LTC has the potential to support timely, appropriate, and better quality of patient care and improve provider experience.
Ontological Realism for the Research Domain Criteria for Mental Disorders
Authors: Ceusters Werner  , Jensen Mark  , Diehl Alexander D.
Published: February 2025

At the heart of the Research Domain Criteria for Mental Disorders is a matrix in which functional aspects of behavior are related to genotypic and (endo-)phenotypic research findings, and the various techniques through which they can been observed. The matrix is work in progress. As such it currently suffers from several shortcomings, the resolution of which, we contend, are essential to success of NIMH's goal of fostering translational science on mental disorders. Using well-established criteria for assessing the terminological and ontological quality of biomedical representations we identified the major problems to be (1) the abundant presence of terms that lack face value, (2) the absence of what the exact nature of the represented relationships are, and (3) referential imprecision with respect to the intended granularity of what the terms denote. We propose to eliminate these shortcomings by resorting to definitions and formal representations under the umbrella of Ontological Realism as they already have been developed in the areas of mental health, anatomy and biological functions.
HL7 FHIR: Ontological Reinterpretation of Medication Resources
Authors: Martinez-Costa Catalina  , Schulz Stefan
Published: February 2025

“A solid ontology-based analysis with a rigorous formal mapping for correctness” is one of the ten reasons why the HL7 standard Fast Healthcare Interoperability Resources (FHIR) is advertised to be better than other standards for EHR interoperability. In this paper, we aim at contributing to this formal analysis by proposing an RDF representation of a subset of FHIR resources based on a highly constrained top-level ontology and guided by the use of a set of Content Ontology Design Patterns (Content ODPs) for representing clinical information. We exemplify this by reinterpreting FHIR medication resources. Although a manual task now, we foresee a possible automatic translation by using RDF shapes.
A Semantic Framework for Logical Cross-Validation, Evaluation and Impact Analyses of Population Health Interventions
Authors: Shaban-Nejad Arash  , Okhmatovskaia Anya  , Shin Eun Kyong  , Davis Robert L.  , Franklin Brandi E.  , Buckeridge David L.
Published: February 2025

Most chronic diseases are a result of a complex web of causative and correlated factors. As a result, effective public health or clinical interventions that intend to generate a sustainable change in these diseases most often use a combination of strategies or programs. To optimize comparative effectiveness evaluations and select the most efficient intervention(s), stakeholders (i.e. public health institutions, policy-makers and advocacy groups, practitioners, insurers, clinicians, and researchers) need access to reliable assessment methods. Building on the theory of Evidence-Based Public Health (EBPH) we introduce a knowledge-based framework for evaluating the consistency and effectiveness of public health programs, interventions, and policies. We use a semantic inference model that assists decision-makers in finding inconsistencies, identifying selection and information biases, and with identifying confounding and hidden dependencies in different public health programs and interventions. The use of formal ontologies for automatic evaluation and assessment of public health programs improves program transparency to stakeholders and decision makers, which in turn increases buy-in and acceptance of methods, connects multiple evaluation activities, and strengthens cost analysis.
Appraising Healthcare Delivery Provision: A Framework to Model Business Processes
Authors: Luzi Daniela  , Pecoraro Fabrizio  , Tamburis Oscar
Published: February 2025

Children are dependent on a reliable healthcare system, especially for the delivery of care which crosses the primary/secondary care boundary. A methodology based on UML has been developed to capture and single out meaningful parts of the child healthcare pathways in order to facilitate comparison among 30 EU countries within the MOCHA project. A first application of this methodology has been reported considering asthma management as an example.
Shared Decision Making via Personal Health Record Technology for Routine Use of Diabetic Youth: A Study Protocol
Authors: Davis Selena  , Roudsari Abdul  , Courtney Karen L.
Published: February 2025

Engaging patients in the self-management decision-making provides opportunities for positive health outcomes. The process of shared decision making (SDM) is touted as the pinnacle of patient-centred care, yet it has been difficult to implement in practice. Access to tools resulting from the integration of all health data and clinical evidence, and an ease of communications with care providers are needed to engage patients in decision making. Personal health record (PHR) technology is a promising approach for overcoming such barriers. Yet there is a scarcity of studies on system design for SDM via PHR. This paper describes a study protocol to identify functional requirements of PHR for facilitating SDM and factors that would influence the embedding of the proposed system in clinical practice.
Concept-Based Retrieval from Critical Incident Reports
Authors: Denecke Kerstin
Published: February 2025

Background: Critical incident reporting systems (CIRS) are used as a means to collect anonymously entered information of incidents that occurred for example in a hospital. Analyzing this information helps to identify among others problems in the workflow, in the infrastructure or in processes.
Assessing the Educational Needs of Health Information Management Staff of the Mashhad University of Medical Sciences, Iran
Authors: Kimiafar Khalil  , Sheikhtaheri Abbas  , Sarbaz Masoumeh  , Hoseini Masoumeh
Published: February 2025

Health information management (HIM) professionals have a combination of skills and, at the same time, the demand for their skills in the health system is increasing rapidly. This study aimed to assess the educational needs of the HIM staff in Iran. This descriptive analytical study was conducted in eight teaching hospitals. It was found that the maximum educational needs concerned the knowledge of medical terminology, occupational safety, legal aspects, the newest rules and regulations, and ministry guidelines, while the least of the felt needs related to insurance and other aspects of registry, data ownership, and data quality. The need to learn about coding and classifications had a significant relationship with work experience (P = 0.045) and those with a work experience of 6 to 10 years had fewer needs. Educational needs were also significantly associated with the number of years since graduation (P = 0.005), as those with 5–10 years' experience after post-graduation had lesser needs than others. Those who plan educational programs for health information professionals must have a comprehensive view of the needs of the health system. Participation of specialists of different fields must be considered in educational planning of such interdisciplinary fields.
Implementation of Nationwide Electronic Health Record in Albania: A Case Study
Authors: Niaksu Olegas  , Kodra Paulin  , Pina Mariola  , Grabenweger Johannes
Published: February 2025

Background: This paper presents a case study of the nationwide implementation of an Electronic Health Record system based on industry standards.
Propose of Standards Based IT Architecture to Enrich the Value of Allergy Data by Telemonitoring Data
Authors: Urbauer Philipp  , Kmenta Maximilian  , Frohner Matthias  , Mense Alexander  , Sauermann Stefan
Published: February 2025

Interoperability is a key requirement for any IT-System to be future proof and cost efficient, due to the increasing interaction of IT-Systems in Healthcare. This feasibility study is part of a larger project focusing on the conceptualization and evaluation of interoperable and modular IT-Framework components for exchanging big data information sets. Hence, this project investigates the applicability of a standard based IT-Architecture for the integration of Personal Health Devices data and open data sources. As a proof of concept use case, pollen forecast data from the Medical University of Vienna were combined with Personal Health Device data and a data correlation was investigated. The standards were identified as well as selected in expert's reviewed and the Architecture was designed based on a literature research. Subsequently the prototype was implemented and successfully tested in interoperability tests. The study shows that the architecture meets the requirements. It can be flexibly extended according to further requirements due to its generic setup. However, further extensions of the Interoperability-Connector and a full test setup needs to be realized in future.
Comparison of Control Group Generating Methods
Authors: Szekér Szabolcs  , Fogarassy György  , Vathy-Fogarassy Ágnes
Published: February 2025

Retrospective studies suffer from drawbacks such as selection bias. As the selection of the control group has a significant impact on the evaluation of the results, it is very important to find the proper method to generate the most appropriate control group. In this paper we suggest two nearest neighbors based control group selection methods that aim to achieve good matching between the individuals of case and control groups. The effectiveness of the proposed methods is evaluated by runtime and accuracy tests and the results are compared to the classical stratified sampling method.
Web and Mobile Based HIV Prevention and Intervention Programs Pros and Cons – A Review
Authors: Niakan Sharareh  , Mehraeen Esmaeil  , Noori Tayebeh  , Gozali Elahe
Published: February 2025

Background: With the increasing growth of HIV positive people the use of information and communication technologies (ICT) can play an important role in controlling the spread of the AIDS. Web and Mobile are the new technologies that young people take advantage from them.
128 SHADES OF RED: Objective Remote Assessment of Radiation Dermatitis by Augmented Digital Skin Imaging
Authors: Partl Richard  , Jonko Beata  , Schnidar Stefan  , Schöllhammer Michael  , Bauer Max  , Singh Sanchit  , Simeckova Julia  , Wiesner Kathrin  , Neubauer Andreas  , Schnidar Harald
Published: February 2025

The purpose of our investigation was to develop a novel and state of the art digital skin imaging method capable for remote monitoring and objective assessment of Radiation Induced Dermatitis (RID). Therefore, radiation therapy related side effects were assessed by medical experts according to Common Terminology Criteria for Adverse Events (CTCAE) grade of severity in 20 female breast cancer patients in a clinical trial over the treatment time frame of 25–28 radiation cycles, 50.0–50.4 Gy each. Furthermore the intensity of developed skin erythema was documented by using conventional spectrophotometry plus digital skin imaging. Thereby we could derive the Standardized Erythema Value (SEV), a novel objective parameter, which in contrast to single parametric L* and a* delivers a long dynamic measurement range for analyzing RID from bright to very dark skin tones. Methodical superiority of the SEV could be proven over spectrophotometer measurements in terms of a higher sensitivity and by enabling signal intensity mapping in analyzed skin images. Our thereupon-derived patent enables novel objective dermatologic eHealth applications in a broad range of medical and industrial use by opening likewise the window for augmented dermatology. The first of its kind system is now already further developed in form of the medical device product Scarletred®Vision. It is available on the market for primary usage in clinical trials and in medical routine.
Meeting End User Needs in Collaborative Medical Device Technology Development Research Projects: A Qualitative Case Study
Authors: Strisland Frode  , Svagård Ingrid Storruste  , Austad Hanne Opsahl  , Reitan Jarl
Published: February 2025

The aim of this case study has been to investigate to what extent user centered design (UCD) methodologies have been applied, how the process and outcomes were perceived by project team members, and what were potential barriers towards meeting end user needs. The case studied was the European Union Framework 7 integrated project d-LIVER (2011-2015), which aimed at developing an integrated care system for chronic liver disease patient management. d-LIVER is an example of a public funded, international, multidisciplinary, collaborative research project where development starts from a low technology readiness level, but where research is motivated by societal needs for better health care solutions. Awareness of central end user needs are therefore crucial. 14 project participants were interviewed. To meet societal and end user needs represent a prominent motivation factor for participants. The project organization with only clinical partners interacting with end users was accepted as a fact of life and not as a project pain point. A summary of observations and recommendations for good practice is given.
A Realism-Based View on Counts in OMOP's Common Data Model
Authors: Ceusters Werner  , Blaisure Jonathan
Published: February 2025

Correctly counting entities is a requirement for analytics tools to function appropriately. The Observational Medical Outcomes Partnership's (OMOP) Common Data Model (CDM) specifications were examined to assess the extent to which counting in OMOP CDM compatible data repositories would work as expected. To that end, constructs (tables, fields and attributes) defined in the OMOP CDM as well as cardinality constraints and other business rules found in its documentation and related literature were compared to the types of entities and axioms proposed in realism-based ontologies. It was found that not only the model itself, but also a proposed standard algorithm for computing condition eras may lead to erroneous counting of several sorts of entities.
IoT Equipment Security
Authors: Lezama-León Arturo  , Liceaga-Ortiz-De-La-Peña José Miguel  , Zárate-Corona José Juan
Published: February 2025

“The Internet of things consist of a system of devices or appliances that are connected to each other, and work together, through networks.” We expect that large corporations that provide their electronic services on a network that can not support adequate solutions will investigate and design new protocols that can control the adopted media. In retrospect, the origin of the vulnerability is analyzed by considering the RFID (Radio Frequency Identification) Middleware, protocols, and architecture of the IoT. Protection in the computer code is considered as a case study.
Automatic Assessment of Engagement and Attention of the Student by Means of Facial Expressions
Authors: Vázquez Rodríguez Catalina Alejandra  , Pinto Elías Raúl
Published: February 2025

Facial expressions provide non-verbal information about people's emotional and mental states without the need for verbal communication, so the extraction and automatic tracking of facial components are the main tasks that artificial vision systems must solve in the realm of Human behavior, detection of facial expressions, man-machine interfaces, among other areas. In this work are proposed to use Kinect and the facetracking library to create a system that automatically locates the face and perform an interpretation of its elements to detect the motivation in an activity. The evaluation of the tests of this system obtained for cases where the system determined that the subjects were paying attention was 89.79%. For the cases where the system evaluated that the test subjects did not pay attention was 90.72%.
Use of the DPP4BIT System for the Management of Hospital Medical Equipment
Authors: Tsoromokos Dimitrios  , Tsaloukidis Nikolaos  , Zarakovitis Dimitrios  , Lazakidou Athina
Published: February 2025

The Information and Communication Technologies (ICT) combined with the development of innovative skills within the broader health sector, can significantly improve and upgrade health care quality services. The proposed DDP4BIT system supports an alternative channel for digital information recording and equipment handling of Biomedical Technology Departments (BITs) of Health Care Units. This technology is ideal for all types of procedures based on handwritten forms that are commonly used in Health Care Units. The collection of useful statistics for analyzing and exporting data indicators is used in order to reduce ratios, such as operating time ratio, ideal operating time indicator, number of repetitive quality failures, total maintenance cost, etc. and supports decision-making
Proposal for the Implementation of Quality Standards in a Medical Unit Through Integration to the Hospital Information System
Authors: Karampela Irene  , Tzortzis Evangelos  , Kefala Ioanna  , Zygoura Eleutheria  , Mantzana Vasiliki  , Armaganidis Apostolos
Published: February 2025

Quality standards (QS) support and enhance health care services provided to patients and citizens, especially in sophisticated medical departments, such as Intensive Care Units (ICU). However, ICU staff lag behind in the adoption and compliance of QS protocols. In this paper, QS protocols implemented in the Intensive Care Unit of the Attiko University Hospital, a tertiary teaching hospital of the University of Athens, will be discussed. In this hospital, standardized procedures are implemented through the HIS, facilitating routine administration and services. We are aiming to facilitate educational processes and enhance staff compliance with the protocols by utilizing the Hospital Information System (HIS). In doing this, we propose the application of pop-up windows on the different user (medical or nursing) interfaces of the HIS, inter-connecting every electronic process with the corresponding QS protocol that has been developed in the ICU. This application may prove a valuable educational tool and may reinforce staff training and enhance compliance with the QS protocols.
Managing Information More Effectively in Health Informatics Applications
Authors: Fiorini Rodolfo A.
Published: February 2025

Conceptual clarity and predicative/impredicative competence are the fundamental components for managing information more effectively in Health Informatics, Healthcare and Medicine applications, while promoting innovation and creativity. Medicine was always the art and science of healing. The science became more and more a mechanistic technology in Healthcare; the art was dropped altogether. But uncertainty-as-problem in the past is slowly morphing into the evolutive concept of uncertainty-as-resource. The key change performance factor is education, distinguishing building on sand from building on rock for Health Informatics! Conceptual clarity, more than instrumental obsession (so typical of this particular time) is necessary. In this paper we present how to take advantage from their fundamental properties.
Totally Connected Healthcare with TV White Spaces
Authors: Katzis Konstantinos  , Jones Richard W.  , Despotou Georgios
Published: February 2025

Recent technological advances in electronics, wireless communications and low cost medical sensors generated a plethora of Wearable Medical Devices (WMDs), which are capable of generating considerably large amounts of new, unstructured real-time data. This contribution outlines how this data can be propagated to a healthcare system through the internet, using long distance Radio Access Networks (RANs) and proposes a novel communication system architecture employing White Space Devices (WSD) to provide seamless connectivity to its users. Initial findings indicate that the proposed communication system can facilitate broadband services over a large geographical area taking advantage of the freely available TV White Spaces (TVWS).
Simulating Human Carer with an Avatar to Improve Medication Adherence
Authors: Fang Kerry Y.  , Bjering Heidi  , Ginige Athula
Published: February 2025

Non-adherence to medication and treatment regimens is considered as a major issue in the healthcare industry as it can lead to negative consequences. Various strategies have been applied to improve adherence, however many of these strategies lack the interaction and personalisation-aspect which has been shown to be crucial to the patients. This paper discusses the importance of personalised interaction in improving patients' medication adherence, and the characteristics needed in an avatar to simulate such human-human interactions.
An Optimized Method for Web Service Discovery Based on Semantics
Authors: Tang Xiaoyan  , Luo Dahui  , Huan Juan
Published: February 2025

The lack of web services semantic description leads to inadequate services search results from services registries. We propose a novel approach to semantically cluster web services, and group the similar web services based on the services similarity matrix so as to improve services discovery and composition. The proposed approach uses WordNet-Similarity to compute the similarity of terms of service name, description, I/O parameters, and then re-weights the services vector to decide the similarity of services. The method based on web service semantics we introduced has an acceptable result.
Combined Bayesian Network-Based Recognition of Lane Changing Behavior
Authors: Shan Yan  , Wang Chang  , Gao Juan  , Song Dingbo  , He Aisheng  , Zhang Ruibin
Published: February 2025

Aiming at the lane change behavior recognition requirements of lane change warning system, natural lane change samples were captured by using a test vehicle. Steering angle and distance between vehicle and lane mark were used as characteristic parameters of lane change behavior. Support vector machine (SVM) method was used to establish recognizing model of lane change. According to the high-low identification accuracy of the different time window, 1.2 seconds was selected to be as the window length .The sample data in each time window were filtered by Kalman filter. Then, by using principal component analysis method, the first and second principal components were extracted from all principal components to be as the new variable. Support vector machine-bayesian filter identification model was built to identify general lane change behavior. Final recognition results show that the recognition rate for the real lane change samples can reach more than 95% and the proposed model can also meet the real time and reliability requirements of lane change warning system.
Research on UAV Online Trajectory Planning Algorithm Based on C/FD-GMRES Method
Authors: Fang Bin  , Yang Jiang Yong  , Wang Yan  , Xu Shuo
Published: February 2025

In order to ensure that the UAV online route planning results meet the terminal constraints of the task, a rolling optimization algorithm based on C/FD-GMRES for UAV online route planning is designed. The C/FD-GMRES is a real-time nonlinear receding horizon control approach; combining the homotopy continuation method differential approximation generalized minimum residual method instead of solving complex Riccati differential equations. At each sampling time, the C/FD-GMRES calculate a residual vector linear equation once and the product of Jacobi matrix and vector product is approximated to the forward difference, the GMRES fast algorithm is used to solve large scale linear equations in the end. The C/FD-GMRES method has a good real-time performance, not sensitive to the selection of initial estimates, and can meet the need of UAV terminal state constraints. Simulation results show that the algorithm can effectively avoid barriers of space and the planned trajectory can converge to a stable terminal state, meeting the real-time requirements.