bluuebunny/crossref_metadata_2025 huggingface dataset:
Fast Information Retrieval using Indexing Techniques
Authors: Stoica Spahiu Cosmin  , Stanescu Liana  , Brezovan Marius
Published: February 2025

The paper presents the solution adopted to index the information in a Multimedia Database Management System dedicated to medical domain, being optimized for medium sized databases. The system automatically processes the images inserted into database, extracting characteristics as: color histogram, texture, and color regions. The system contains the needed algorithms for images processing and visual content-based retrieval, thus making the client applications less complex. The information is indexed using a single level B-tree structure for text-based data, and using an R-trees structure for multimedia data. The performances of the system are analyzed from the execution time point of view.
A Context-Sensitive Support System for Medical Diagnosis Discovery based on Symptom Matching
Authors: Knežević Marko  , Ivanˇević Vladimir  , Luković Ivan
Published: February 2025

In this paper, we present a prototype of a clinical decision-support system. This prototype relies on a two-phase algorithm that is based on the differential diagnosis method from medical diagnostics and predictive models for disease occurrence in a subpopulation. The algorithm requires a data set containing information about diseases and their corresponding symptoms, and a data set with registered disease cases. The main output of this algorithm is a ranked list of diagnoses that might explain the manifested symptoms. The ranking is influenced by the patient's context, i.e., disease trends within a subpopulation to which the patient belongs. In the context of medical diagnosis discovery based on symptom matching, we present a short rationale for developing such a system, brief review of similar systems, algorithm for diagnoses ranking, and ideas for future research. Furthermore, we elaborate on the required data sets and illustrate the application of the proposed solution with a typical use scenario.
A Group-based Order Batching Method for Fruit and Vegetable's Farm-to-door Online Retail in Metropolises of China
Authors: Mu Du  , Xiangpei Hu
Published: February 2025

Farm-to-door online retail for fruit and vegetable is new business mode in China, which could connect farmers and customers directly. This mode is a promising business field as it could offer fresh and convenient agri-food to citizens, who barely have time to go to food markets on weekdays. However, with the growing of customer's amount, the efficiency of warehouse and logistics operations has been the block of its expansion. And currently the most time-consuming procedures in Delivery Centre (DC) are order picking and goods delivery, which are conducted one after another. In order to improve the operation efficiency of DC, we proposed a group-based order batching method to organize the warehouse and delivery operations as a pipeline. Firstly, the order picking process is modelled, which refers to vehicle routing plan. Then, we employ the group technology and put forward a group-based order batching method. Finally, we apply the proposed methodology on the farm-to-door fruit and vegetable online retail company in China. The result shows that the group-based order batching method could greatly reduce the operation time. This is a new order batching method, which could promote the development of farm-to-door business mode for fresh agri-food in China. And it is also offer a new idea for order picking process of large B2C online retailers.
The Measurement of Exit Strategy Impact in Fuzzy Portfolio-based Investment
Authors: Wang Bo  , Li You  , Watada Junzo
Published: February 2025

In security market, the term exit means that the investor may sell his equity on account of some exogenous or endogenous incentives, especially when security price becomes higher than his expectation or lower than his tolerance. It is a common problem that all the deciders need to face in the investment horizon. However, there have been few studies probe into the influences caused by such strategy in fuzzy environment. Therefore, in this work, we use the exit strategy to secure security future returns and rebuild fuzzy portfolio selection models. Then, we discuss about the exit points and employ one meta-heuristic method to solve the proposed models. We also analyze the differences between the new models' experimental results and that of previous methods.
Evaluation of a medicines list iPhone app
Authors: Wickham Brendon  , Holbrook Rachel  , Dinh Kathryn
Published: February 2025

Introduction: A medicines list iPhone app, based on an existing paper product, was developed by NPS MedicineWise for consumers. Since its launch in June 2011 the app has been downloaded over 19,000 times. With plans to expand its development and increase its use, it was critical to discover how the app is used and how useful it is.
Hospital level analysis to improve patient flow
Authors: Khanna Sankalp  , Boyle Justin  , Good Norm  , Bugden Simon  , Scott Mark
Published: February 2025

The complexity of hospital operations ensures that one-size-fits-all solutions seldom work. As hospitals turn to evidence based strategies to redesign flow, it is critical that they tailor the strategies to suit their individual service. This paper analyses the effect of hospital occupancy on inpatient and emergency department patient flow parameters at the Caboolture hospital in Queensland, Australia, and identifies critical levels, or choke points, that result in performance decline. The effect of weekdays and weekends on patient flow is also investigated. We compare these findings to a previous study that has analysed patient flow across Queensland hospitals grouped by size, and discover several differences in the interaction between rising occupancy and patient flow parameters including rates of patient flow, length of stay, and access block. We also identify significantly higher choke points for Caboolture hospital as compared to other similarly sized Queensland hospitals, which suggest that patient flow here can be redesigned to operate at higher levels of occupancy without degrading flow performance. The findings support arguments for hospitals to analyse patient flow at a service level to deliver optimum service improvement.
Wearable System for Non-Invasive and Continuous Monitoring Central Aortic Pressure Curve and Augmentation Index
Authors: Krivoshei Andrei  , Lamp Jürgen  , Min Mart  , Uuetoa Tiina  , Uuetoa Hasso  , Annus Paul
Published: February 2025

The paper presents a non-invasive method and system for a long-term and continuous monitoring of the central aortic pressure (CAP) waveform and the augmentation index (AI). The CAP curve is estimated from the measured radial electrical bio-impedance (EBI) using spectral domain transfer functions (TF), which are established on the basis of data analysis during clinical experiments. Experiments were carried out on 3 volunteers by now. During the experiment, a 0.5 mg sublingual nitroglycerin tablet was administrated to each volunteer. Both, the reconstructed CAP curve and the AI have very good correlation with the results obtained by the SphygmoCor system. But, in opposite to the traditional tonometry based CAP curve and AI estimation methods, the proposed one is more convenient to use and allows continuous and long-term personalized monitoring of the CAP curve and of the AI.
Towards Large-Scale Data Analysis: Challenges in the Design of Portable Systems and Use of Cloud Computing
Authors: Diaz Javier  , Arrizabalaga Saioa  , Bustamante Paul  , Mesa Iker  , Añorga Javier  , Goya Jon
Published: February 2025

Portable systems and global communications open a broad spectrum for new health applications. In the framework of electrophysiological applications, several challenges are faced when developing portable systems embedded in Cloud computing services. In order to facilitate new developers in this area based on our experience, five areas of interest are presented in this paper where strategies can be applied for improving the performance of portable systems: transducer and conditioning, processing, wireless communications, battery and power management. Likewise, for Cloud services, scalability, portability, privacy and security guidelines have been highlighted.
Translational Medicine Meets New Technologies for Enabling Personalized Care
Authors: Blobel Bernd
Published: February 2025

For improving quality, safety and efficiency of care processes, health care systems perform two paradigm changes: the organizational transformation of the health care system from organization-centric to person-centric structures and the methodological transformation from the traditional phenomenological approach to individualized health care based on translational medicine. Both paradigm changes are interrelated and require advanced interoperability between different organizations and multiple disciplines. The paper presents a system-theoretical, architecture-centric approach to analyze, design and develop the systems of health care and medicine for enabling personalized health services. According to the translational medicine paradigm, the considered model must be able to describe the subject of care at all levels of granularity from elements to population including the technologies applied at those levels to perform diagnosis and therapy. The system components reflected through different domains, their concepts and interrelations must be consistently described based on the domain ontologies representing those system perspectives. The medical and technological instances of the personalized health system are exemplified, thereby especially focusing on nano and micro levels and discussing biological and technical sensors and actuators, but also addressing profiling, bridging between genotyping and phenotyping and thereby combining molecular and epidemiological studies.
A web ontology for Brain Trauma Patient Computer-Assisted Rehabilitation
Authors: Zikos Dimitrios  , Galatas George  , Metsis Vangelis  , Makedon Fillia
Published: February 2025

In this paper we describe CABROnto, which is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation. This is a novel and emerging domain, since it employs the use of robotic devices, adaptation software and machine learning to facilitate interactive and adaptive rehabilitation care. We used Protégé 4.2 and Protégé-Owl schema editor. The primary goal of this ontology is to enable the reuse of the domain knowledge. CABROnto has nine main classes, more than 50 subclasses, existential and cardinality restrictions. The ontology can be found online at Bioportal.
Proposal for a new content model for the Austrian Procedure Catalogue
Authors: Neururer Sabrina B.  , Pfeiffer Karl P.
Published: February 2025

The Austrian Procedure Catalogue is used for procedure coding in Austria. Its architecture and content has some major weaknesses. The aim of this study is the presentation of a new potential content model for this classification system consisting of main characteristics of health interventions. It is visualized using a UML class diagram. Based on this proposition, an implementation of an ontology for procedure coding is planned.
A Sophisticated Mechanism for Enabling Real-time Mobile Access to PHR Data
Authors: Koufi Vassiliki  , Malamateniou Flora  , Vassilacopoulos George
Published: February 2025

Faced with rapid changes, such as growing complexity in care delivery, health systems nowadays fall short in their ability to translate knowledge into practice. Mobile technology holds enormous potential for transforming healthcare delivery systems which currently involve cumbersome processes that slow down care and decrease rather than improve safety. However, the limited computing, energy and information storage capabilities of mobile devices are hampering their ability to support increasingly sophisticated applications required by certain application fields, such as healthcare. This paper is concerned with a framework which provides ubiquitous mobile access to comprehensive health information at any point of care or decision making in a way that efficient utilization of mobile device resources is achieved. To this end, a cloud-based push messaging mechanism is utilized which draws upon and enhances Google Cloud Messaging service.
The Evaluation of the Need to Share Medical Data on the Community Medical ICT Network Service in Nagasaki, Japan
Authors: Matsumoto Takehiro  , Honda Masayuki
Published: February 2025

The Community Medical ICT Network service at the Nagasaki, Japan was established in 2009. Medical information network for sharing patients data was investigated focused on the access log data from April of 2009 and October of 2010. The total number of the access to the medical information was 30,914 of 2,213 patients. And the total number of access of the image including diagnostic imaging report, medical examination, treatment and medical documents was 10,278(33.2%), 8,949(28.9%), 6,896(22.3%) and 4,791(15.5%) respectively. These results showed that these medical information had enough valued for sharing in the regional medicine. In conclusion, many types of medical information should be required for sharing in the community medical ICT network in Japan.
Automatic Information Extraction for Computerized Clinical Guideline
Authors: Zhu Huijia  , Ni Yuan  , Cai Peng  , Cao Feng
Published: February 2025

Clinical Guidelines (CG) are recommendations on the appropriate treatment and care of people with specific diseases and conditions. CG should be used by both physicians and patients to make the informed decision. However, the CGs are not well used due to their complexity and because they are frequently updated. The computerized CGs are proposed to make use of the computer to do the decision making. However, it needs a lot of human effort to transform the narrative CG into computerized CG. In this paper, we proposed a method to use the NLP techniques to extract the fine-grained information from the text based CG automatically. Such information could be easily converted to the computer interpretable models.
Searching for Document Contents in an IHE-XDS EHR Architecture via Archetype-Based Indexing of Document Types
Authors: Rinner Christoph  , Kohler Michael  , Saboor Samrend  , Huebner-Bloder Gudrun  , Ammenwerth Elske  , Duftschmid Georg
Published: February 2025

The shared EHR (electronic health record) system architecture IHE XDS is widely adopted internationally. It ensures a high level of data privacy via distributed storage of EHR documents. Its standard search capabilities, however, are limited; it only allows a retrieval of complete documents by querying a restricted set of document metadata. Existing approaches that aim to extend XDS queries to document contents typically employ a central index of document contents. Hereby they undermine XDS' basic characteristic of distributed data storage. To avoid data privacy concerns, we propose querying EHR contents in XDS by indexing document types based on Archetypes instead. We successfully tested our approach within the ISO/EN 13606 standard.
ICT and Mobile Health to Improve Clinical Process Delivery. A Research Project for Therapy Management Process Innovation
Authors: Locatelli Paolo  , Montefusco Vittorio  , Sini Elena  , Restifo Nicola  , Facchini Roberta  , Torresani Michele
Published: February 2025

The volume and the complexity of clinical and administrative information make Information and Communication Technologies (ICTs) essential for running and innovating healthcare. This paper tells about a project aimed to design, develop and implement a set of organizational models, acknowledged procedures and ICT tools (Mobile & Wireless solutions and Automatic Identification and Data Capture technologies) to improve actual support, safety, reliability and traceability of a specific therapy management (stem cells). The value of the project is to design a solution based on mobile and identification technology in tight collaboration with physicians and actors involved in the process to ensure usability and effectivenes in process management.
A Model for Nurses Seeking Information using a Scholarly Information Map
Authors: Tomita Mika  , Iwasawa Mariko
Published: February 2025

Nurses are required to obtain highly sophisticated scholarly information to contribute to the health of medical consumers through evidence-based practice (EBP). However, it is often difficult to constantly find appropriate information resources and conduct searches to obtain desired and useful information. Therefore, a system that can be used to find reliable information to satisfy the needs of clinical nurses is required. This study aimed to support nurses seeking information to aid their practice. We propose a model to support the information seeking of nurses using 2 scholarly information maps: a “Resource Map” and an “Individual Map.” The Resource Map contains comprehensive information of special fields for nurses. Meanwhile, the Individual Map contains elements of case reports that help nurses to accurately specify a patient's condition. This model can help nurses develop a habit of using these maps for advancements in nursing.
A rule-based method for continuity of care identification in discharge summaries
Authors: Silva e Oliveira Lucas E.  , de Souza Andréia C.  , Nohama Percy  , Moro Claudia M.C.
Published: February 2025

Discharge summaries are an important clinical narrative as they include the continuity of care information. Identification of data contained in their text is a difficult task due to its freeform text and lack of consensus on essential content. This research proposes a rule-based method to verify the presence of information about continuity of care in Portuguese texts, applying Natural Language Processing (NLP) techniques, and based on an annotated medical corpus. After the experiments, 4 rules were defined and applied in the text of 200 summaries to identify if they have or not the continuity of care information. This process had resulted in Precision value of 84%, Recall value of 70%, Specificity value of 97% and F-Measure value of 76% related to algorithm evaluation.
Effect of EMR Implementation on Clinic Time, Patient and Staff Satisfaction, and Chart Completeness in a Resource-Limited Antenatal Clinic in Kenya
Authors: Gray Alice  , Henshaw Christe  , Wright Julie  , Leah Jessica  , Caloia David  , Spitzer Rachel F.  , Omenge Elkanah  , Chemwolo Benjamin  , Tierney William M.
Published: February 2025

Electronic Medical Records (EMR) are thought to improve healthcare through a variety of means. However, the study of EMR implementation in resource-poor settings has been minimal. Moi Teaching and Referral Hospital (MTRH) is the second largest tertiary care centre in Kenya, hosting a busy antenatal clinic serving Eldoret and surrounding regions. The recent transition from written to electronic antenatal records at MTRH permits the opportunity to study whether this change improves quality of care, in terms of:
Structured Representation for Core Elements of Common Clinical Decision Support Interventions to Facilitate Knowledge Sharing
Authors: Zhou Li  , Hongsermeier Tonya  , Boxwala Aziz  , Lewis Janet  , Kawamoto Kensaku  , Maviglia Saverio  , Gentile Douglas  , Teich Jonathan M.  , Rocha Roberto  , Bell Douglas  , Middleton Blackford
Published: February 2025

At present, there are no widely accepted, standard approaches for representing computer-based clinical decision support (CDS) intervention types and their structural components. This study aimed to identify key requirements for the representation of five widely utilized CDS intervention types: alerts and reminders, order sets, infobuttons, documentation templates/forms, and relevant data presentation. An XML schema was proposed for representing these interventions and their core structural elements (e.g., general metadata, applicable clinical scenarios, CDS inputs, CDS outputs, and CDS logic) in a shareable manner. The schema was validated by building CDS artifacts for 22 different interventions, targeted toward guidelines and clinical conditions called for in the 2011 Meaningful Use criteria. Custom style sheets were developed to render the XML files in human-readable form. The CDS knowledge artifacts were shared via a public web portal. Our experience also identifies gaps in existing standards and informs future development of standards for CDS knowledge representation and sharing.
Development of a Semantic-based Search System for Immunization Knowledge
Authors: Lee Li-Hui  , Chu Hsing-Yi  , Liou Der-Ming
Published: February 2025

This study developed and implemented a children's immunization management system with English and Traditional Chinese immunization ontology for semantic-based search of immunization knowledge. Parents and guardians are able to search vaccination-related information effectively. Jena Java Application Programming Interface (API) was used to search for synonyms and associated classes in this domain and then use them for searching by Google Search API. The searching results do not only contain suggested web links but also include a basic introduction to vaccine and related preventable diseases. Compared with the Google keyword-based search, over half of the 31 trial users prefer using semantic-based search of this system. Although the search runtime on this system is not as fast as well-known search engines such as Google or Yahoo, it can accurately focus on searching for child vaccination information to provide search results that better conform to the needs of users. Furthermore, the system is also one of the few health knowledge platforms that support Traditional Chinese semantic-based search.
Sharing Ontology between ICD 11 and SNOMED CT will enable Seamless Re-use and Semantic Interoperability
Authors: Rodrigues Jean-Marie  , Schulz Stefan  , Rector Alan  , Spackman Kent  , Üstün Bedirhan  , Chute Christopher G.  , Della Mea Vincenzo  , Millar Jane  , Persson Kristina Brand
Published: February 2025

In order to support semantic interoperability in eHealth systems, domain terminologies need to be carefully designed. SNOMED CT and the upcoming ICD-11 represent a new generation of ontology-based terminologies and classifications. The proposed alignment of these two systems and, in consequence, the validity of their cross-utilisation requires a thorough analysis of the intended meaning of their representational units. We present the ICD11 SNOMED CT harmonization process including: a) the clarification of the interpretation of codes in both systems as representing situations rather than conditions, b) the principles proposed for aligning the two systems with the help of a common ontology, c) the high level design of this common ontology, and d) further ontology-driven issues that have arisen in the course of this work.
Taming EHR data: Using Semantic Similarity to reduce Dimensionality
Authors: Kalankesh Leila  , Weatherall James  , Ba-Dhfari Thamer  , Buchan Iain  , Brass Andy
Published: February 2025

Medical care data is a valuable resource that can be used for many purposes including managing and planning for future health needs as well as clinical research. However, the heterogeneity and complexity of medical data can be an obstacle in applying data mining techniques. Much of the potential value of this data therefore goes untapped. In this paper we have developed a methodology that reduces the dimensionality of primary care data, in order to make it more amenable to visualisation, mining and clustering. The methodology involves employing a combination of ontology-based semantic similarity and principal component analysis (PCA) to map the data into an appropriate and informative low dimensional space. Throughout the study, we had access to anonymised patient data from primary care in Salford, UK. The results of our application of this methodology show that diagnosis codes in primary care data can be used to map patients into an informative low dimensional space, which in turn provides the opportunity to support further data exploration and medical hypothesis formulation.
An RDF/OWL Knowledge Base for Query Answering and Decision Support in Clinical Pharmacogenetics
Authors: Samwald Matthias  , Freimuth Robert  , Luciano Joanne S.  , Lin Simon  , Powers Robert L.  , Marshall M. Scott  , Adlassnig Klaus-Peter  , Dumontier Michel  , Boyce Richard D.
Published: February 2025

Genetic testing for personalizing pharmacotherapy is bound to become an important part of clinical routine. To address associated issues with data management and quality, we are creating a semantic knowledge base for clinical pharmacogenetics. The knowledge base is made up of three components: an expressive ontology formalized in the Web Ontology Language (OWL 2 DL), a Resource Description Framework (RDF) model for capturing detailed results of manual annotation of pharmacogenomic information in drug product labels, and an RDF conversion of relevant biomedical datasets. Our work goes beyond the state of the art in that it makes both automated reasoning as well as query answering as simple as possible, and the reasoning capabilities go beyond the capabilities of previously described ontologies.
Visualization of Infectious Disease Outbreaks in Routine Practice
Authors: Karlsson David  , Ekberg Joakim  , Spreco Armin  , Eriksson Henrik  , Timpka Toomas
Published: February 2025

Throughout the history of epidemiology, visualizations have been used as the interface between public-health professionals and epidemiological data. The aim of this study was to examine the impact of the level of abstraction when using visualizations on routine infectious disease control. We developed three interactive visualization prototypes at increasing levels of abstraction to communicate subsets of influenza outbreak surveillance information. The visualizations were assessed through workshops in an exploratory evaluation with infectious disease epidemiologists. The results show that despite the potential of processed, abstract, and information-dense representations, increased levels of abstraction decreased epidemiologists' understanding and confidence in visualizations. Highly abstract representations were deemed not applicable in routine practice without training. Infectious disease epidemiologists' work routines and decision-making need to be further studied in order to develop visualizations that meet both the quality requirements imposed by policy-makers and the contextual nature of work practice.
Design of a User-Centered Voluntary Patient Safety Reporting System: Understanding the Time and Response Variances by Retrospective Think-aloud Protocols
Authors: Hua Lei  , Gong Yang
Published: February 2025

Usability is critical to the success of computerized systems, and yet it has received little attention in the field of voluntary patient safety reporting. Failures in this regard may largely account for the issues of low user acceptance and low-quality data that currently confront the system. In this study, we examined the three usability aspects of efficiency, effectiveness and user attitudes on a typical safety reporting system. The system usability was evaluated using the retrospective think-aloud testing method, which measures execution time and response consistency with think-aloud protocols. Ten end-users were recruited for the test. The descriptive statistics on users' time and response variances unveiled system features that influenced the system's reporting efficiency and effectiveness. The think-aloud protocols that reflected users' attitudes helped identify nine categories of usability problems associated with the response variances and system features. In the end, the observed semantic ambiguity, terminology complexity and carry-over effect are noted as challenges and opportunities for further usability improvements.
Health-oriented Electronic Oral Health Record for Health Surveillance
Authors: Wongsapai Mansuang  , Suebnukarn Siriwan  , Rajchagool Sunsanee  , Kijsanayotin Boonchai
Published: February 2025

Public health surveillance of oral health might benefit from increased access to and analysis of electronically available data including systematic collection, analysis, interpretation, and dissemination of outcome-specific data for use in public health action to improve oral health. This study aimed to develop and evaluate a new Health-oriented Electronic Oral Health Record (Health-EOHR) that integrated new oral health status graphical user interface, the health-oriented status and intervention model to facilitate oral health surveillance. We designed an experiment using focus groups and a Delphi process to develop health-oriented status and intervention model and graphical user interface. The Health-EOHR was implemented and integrated into the existing Electronic Health Record widely used in community hospitals. The study on usefulness for oral health surveillance was conducted. Overall, the dentists were significantly satisfied with the Health-EOHR compared to the existing EOHR (p < 0.001). The dentists found it easy to use and were generally satisfied with the function and the impact on their work, oral health services and surveillance.
Predicate Argument Structure Frames for Modeling Information in Operative Notes
Authors: Wang Yan  , Pakhomov Serguei  , Melton Genevieve B.
Published: February 2025

The rich information about surgical procedures contained in operative notes is a valuable data source for improving the clinical evidence base and clinical research. In this study, we propose a set of Predicate Argument Structure (PAS) frames for surgical action verbs to assist in the creation of an information extraction (IE) system to automatically extract details about the techniques, equipment, and operative steps from operative notes. We created PropBank style PAS frames for the 30 top surgical action verbs based on examination of randomly selected sample sentences from 3,000 Laparoscopic Cholecystectomy notes. To assess completeness of the PAS frames to represent usage of same action verbs, we evaluated the PAS frames created on sample sentences from operative notes of 6 other gastrointestinal surgical procedures. Our results showed that the PAS frames created with one type of surgery can successfully denote the usage of the same verbs in operative notes of broader surgical categories.
Identification of strategies to reduce computerized alerts in an electronic prescribing system using a Delphi approach
Authors: Baysari Melissa T.  , Westbrook Johanna I.  , Egan Brian  , Day Richard O.
Published: February 2025

Objective: To reach consensus among prescribers of different specialties and experience on the usefulness of computerised alerts and strategies for reducing low-value alerts within a commercial electronic prescribing system.
Why We Need a Large-scale Open Metadata Initiative in Health Informatics – A Vision Paper on Open Data Models for Clinical Phenotypes
Authors: Dugas Martin
Published: February 2025

Clinical phenotypes are very complex and not well described. For instance, more than 100.000 biomedical concepts are needed to describe clinical properties of patients. At present, information systems dealing with clinical phenotype data are based on secret, heterogeneous and incompatible data models. This is the root cause for the well-known grand challenge of semantic interoperability in healthcare: data exchange and analysis of medical information systems has major limitations. This problem slows down medical progressand wastes time of health care professionals. A large-scale open metadata initiative can foster exchange, discussion and consensus regarding data models for clinical phenotypes. This would be an important contribution to improve information systems in healthcare and to solve the grand challenge of semantic interoperability.
Semantic Prerequisites for Data Sharing in a Biomedical Research Network
Authors: Ganzinger Matthias  , Knaup Petra
Published: February 2025

We investigated for a research network on liver cancer semantic prerequisites for successful data sharing. To support collaboration with information technology, it is important to annotate research data with metadata. Ideally, all data handled are described ontologically to allow for automated reasoning. However, a complete ontology is hard to define. As a preliminary step we acquired a project wide common vocabulary by interviewing project partners. The vocabulary contains terms for describing the projects' processes and related data. Where the vocabulary intersects with Unified Medical Language System (UMLS) terms, the terms will be replaced by UMLS-terms. Cell line data are a subclass of the data handled in our research network. For these data we reviewed existing ontologies and developed a new ontology for cell lines. The Cell Culture Ontology (CCONT) reuses existing ontologies and enhances those with more specific cell line related properties to achieve a comprehensive description of cell lines. The results of our work can be transferred to other research networks with a similarly limited biomedical scope.
A Multi-Agent System for Monitoring Patient Flow
Authors: Rosati Samanta  , Tralli Augusta  , Balestra Gabriella
Published: February 2025

Patient flow within a healthcare facility may follow different and, sometimes, complicated paths. Each path phase is associated with the documentation of the activities carried out during it and may require the consultation of clinical guidelines, medical literature and the use of specific software and decision aid systems. In this study we present the design of a Patient Flow Management System (PFMS) based on Multi Agent Systems (MAS) methodology. System requirements were identified by means of process modeling tools and a MAS consisting of six agents was designed and is under construction. Its main goal is to support both the medical staff during the health care process and the hospital managers in assuring that all the required documentation is completed and available. Moreover, such a tool can be used for the assessment and comparison of different clinical pathways, in order to identify possible improvementsand the optimum patient flow.
Future population of Atomic Bomb Survivors in Nagasaki
Authors: Yokota Kenichi  , Mine Mariko  , Shibata Yoshisada
Published: February 2025

The Nagasaki University Atomic Bomb Survivor Database, which was established in 1978 for elucidating the long-term health effects of the atomic bombing, has registered since 1970 about 120,000 atomic bomb survivors with a history of residence in Nagasaki city. Since the number of atomic bomb survivors has steadily been decreasing, prediction of future population is important for planning future epidemiologic studies, and we tried to predict the population of atomic bomb survivors in Nagasaki city from 2008 to 2030. In addition, we evaluated our estimated population comparing with the actual number from 2008 to 2011.
Examination of Improvements in “Hay Fever Masks” Based on a Preference Survey
Authors: Morishima Mika  , Kishida Koya  , Uozum Takashi  , Kamijo Masayoshi
Published: February 2025

The long-term goal of this study is to make suggestions for improvements both in the functionality and the comfort of hygiene masks. As basic research, we conducted a survey of young A to ascertain problems with masks used for hay fever in 2009. Main questions were: (1) “Do you have HF?” (2) “What HF symptoms do you have?” (3) “Do you like, dislike or neither like nor dislike wearing a hygiene mask?” (4) “What are the reasons for that?” The ratio of symptomatic people of HF was 41% in this research. In this report, we examine the correspondence between the symptoms that people who were aware of HF had and their preference for masks, and consider functions to be given for developing masks with comfort.
Clinical Decision Support Systems: Data Quality Management and Governance
Authors: Liaw Siaw-Teng
Published: February 2025

This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. The scope of DQM & IG should range from data creation and collection in clinical settings, through cleaning and, where obtained from multiple sources, linkage, storage, use by the EDS logic engine and algorithms, knowledge base and guidance provided, to curation and presentation. It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care.
A Virtual Environment for Collaborative Engineering with Formal Verification
Authors: Herget Wolfgang  , Krauß Christopher  , Nonnengart Andreas  , Spieldenner Torsten  , Warwas Stefan  , Zinnikus Ingo
Published: February 2025

In this paper, we present a collaborative, web-based framework to create 3D scenarios for product design, simulation and training assisted by animated avatars. To support correct design and anticipate critical design decisions we employ a verification approach to check for safety and reachability properties. By animating the 3D model based on prover results (trace witnesses out of constructive proofs) the system provides tangible feedback of the verification to the designer. We describe the components of the framework and illustrate the functionality based on an existing factory production line.
Multi-Objective Optimization of Low-Floor Minibus Suspension System Parameters
Authors: Šagi Goran  , Lulić Zoran  , Stjepandić Josip
Published: February 2025

This paper describes improvements and interaction of multi-objective optimization and simulation tools for the analysis of suspension system kinematics and vehicle dynamics in the conceptual phase of low-floor minibus development. Achieving optimum parameters of the vehicle at this stage of development reduces the possibility of wrong solutions or concepts. Suspension system development process is a challenging task due to the existence of many influential parameters, complex and often conflicting objectives related to stability, handling, ride comfort and other aspects of vehicle dynamics. Also this is a multidisciplinary task which presents a computational and modeling challenge. This task has three fundamental steps: multi-objective problem definition, multi-objective optimization process and multi-criteria decision making. In this research, the focus is on the first two steps. The definition of design variables, objectives and constraints is necessary in the problem definition process. After that in optimization process, the goal is to determine optimal suspension system parameters of low-floor minibus using newly developed optimization model, based on evolutionary algorithms and vehicle dynamics simulations. This paper gives a contribution to the validation of simulation models, the fine adjustment of optimization algorithm parameter values (population size, probability of mutation, crossover or selection, etc.), the analysis of convergence of an evolutionary algorithm, the comparison of the results obtained by evolutionary algorithms with results of other multi-objective optimization methods and the implementation of proposed optimization model for determining optimal suspension system parameters of low-floor minibus.
Process Modeling for Supporting Risk Analysis in Product Innovation Chaine
Authors: Urrego-Giraldo Germán  , Giraldo G. Gloria Lucía
Published: February 2025

The management of products innovation projects faces the adoption of a product innovation chain and the ways to develop its processes. There are many approaches for managing the processes and these approaches may be applied in any phases of the innovation chain. That means that each phase may applies one process management approach with independence of those used in other phases. Traditional and new approaches may coexist along the innovation chain and could be mixed for creating other approaches. The transformation of inputs into outputs, the central aspect of process concept, involves a set of activities in terms of which, the processes are modeled. Risk analysis in the innovation chain is referred to process risk analysis in the innovation chain, considering different process management approaches, such as: concurrent engineering, co-creation, lean production, etc. These process management approaches are not, in general, characterized in order to support risk analysis. In our innovation model, process management approaches are separately characterized in terms of: one hand, their quality attributes, and another hand, the specific and different activities of every process management approach. In this work, we characterize and conceptualize some of these approaches for supporting risk analysis in a product innovation chain.
Post-Processing the Class Panel Graphs: Towards Understandable Patterns from Data
Authors: Sevilla Villanueva Beatriz  , Gibert Karina  , Sànchez-Marrè Miquel
Published: February 2025

A profiling methodology is introduced for automatic interpretation of clusters in this paper. This methodology contributes to the characterization of the resulting classes from a clustering process. Our research aims to find a concordance between the proposed methodology and the experts' description of these classes. In this work the resulting classes from a clustering of a general population sample based on their diet and physical activity habits are interpreted and compared with the experts' description of these classes by using the Class Panel Graphs. As a novelty, we import techniques from the multivariate analysis into the cluster interpretation process.
Analysis of GPR Data Through Interpretation of Pre-Processed Images Obtained by a Multi-Agent Approach to Identify Pipes in Water Supply Systems
Authors: Ayala-Cabrera David  , Ocaña-Levario Silvia J.  , Izquierdo Joaquín  , Pérez-García Rafael  , Herrera Manuel
Published: February 2025

This work focuses on the development of easy application procedures for visualizing the characteristics of the components of water supply systems (WSS), quickly and by non highly qualified staff. We study databases related to the underground obtained with GPR (ground penetrating radar). In this study we perform GPR imaging of pipes of four different materials commonly used in WSSs buried in dry soil. The data obtained from the survey are pre-processed with a multi-agent method consisting in a race of agents. Subsequently, analysis and interpretation of the results, seeking to generate forms that allow a quick understanding, are performed. These forms are analyzed in order to assess the feasibility of pattern recognition revealing existence of pipes. The results are promising in the attempt of generating suitable databases and parameters to train intelligent systems for characterizing components of WSS.
A Hierarchical Model for Continuous Gesture Recognition Using Kinect
Authors: Jensen Søren Kejser  , Moesgaard Christoffer  , Nielsen Christoffer Samuel  , Viesmose Sine Lyhne
Published: February 2025

Human gesture recognition is an area, which has been studied thoroughly in recent years,and close to100% recognition rates in restricted environments have been achieved, often either with single separated gestures in the input stream, or with computationally intensive systems. The results are unfortunately not as striking, when it comes to a continuous stream of gestures. In this paper we introduce a hierarchical system for gesture recognition for use in a gaming setting, with a continuous stream of data. Layer 1 is based on Nearest Neighbor Search and layer 2 uses Hidden Markov Models. The system uses features that are computed from Microsoft Kinect skeletons. We propose a new set of features, the relative angles of the limbs from Kinect's axes to use in NNS. The new features show a 10 percent point increase in precision when compared with features from previously published results. We also propose a way of attributing recognised gestures with a force attribute, for use in gaming. The recognition rate in layer 1 is 68.2%, with an even higher rate for simple gestures. Layer 2 reduces the noise and has aaverage recognition rate of 85.1%. When some simple constraints are added we reach a precision of 90.5% with a recall of 91.4%.
Decremental Possibilistic K-Modes
Authors: Ammar Asma  , Elouedi Zied  , Lingras Pawan
Published: February 2025

In this paper, a new approach is developed that focuses on different aspects of uncertainty when clustering categorical instances using possibility theory. Our proposal, called decremental possibilistic k-modes (DPKM), is an uncertain soft-clustering method based on decremental learning. First, it handles uncertain values by defining a possibility distribution for each attribute. Then, as a soft computing method, it computes the degree of belonging of each object to all clusters. After that, it deals with the decremental learning by removing the most dissimilar cluster to the objects. Hence, the proposed approach takes advantages from both uncertain soft-clustering and decremental learning by saving computing time and improving the clustering performance.
Data Mining-based Facial Expressions Recognition System
Authors: Mliki Hazar  , Fourati Nesrine  , Hammami Mohamed  , Ben-Abdallah Hanêne
Published: February 2025

In this paper, we introduce a new facial-expression analysis system designed to automatically recognize facial expressions, able to manage facial-expression intensity variation as well as reducing the doubt and confusion between facial-expression classes. Our proposed approach introduces a new method to segment efficiently facial feature contours using Vector Field Convolution (VFC) technique. Relying on the detected contours, we extract facial feature points which go with facial-expression deformations. Then we have modeled a set of distances among the detected points to define prediction rules through data mining technique. An experimental study was conducted to evaluate the performance of our proposed solution under varying factors.
Error AMP Chain Graphs
Authors: Peña Jose M.
Published: February 2025

Any regular Gaussian probability distribution that can be represented by an AMP chain graph (CG) can be expressed as a system of linear equations with correlated errors whose structure depends on the CG. However, the CG represents the errors implicitly, as no nodes in the CG correspond to the errors. We propose in this paper to add some deterministic nodes to the CG in order to represent the errors explicitly. We call the result an EAMP CG. We will show that, as desired, every AMP CG is Markov equivalent to its corresponding EAMP CG under marginalization of the error nodes. We will also show that every EAMP CG under marginalization of the error nodes is Markov equivalent to some LWF CG under marginalization of the error nodes, and that the latter is Markov equivalent to some directed and acyclic graph (DAG) under marginalization of the error nodes and conditioning on some selection nodes. This is important because it implies that the independence model represented by an AMP CG can be accounted for by some data generating process that is partially observed and has selection bias. Finally, we will show that EAMP CGs are closed under marginalization. This is a desirable feature because it guarantees parsimonious models under marginalization.
Intelligent Transport and Energy Systems Using Agent Technology
Authors: Davidsson Paul
Published: February 2025

Experiences from different applications of agent technology aiming to make transport and energy systems more efficient are presented. The examples will cover real-time applications on the operational level, as well as, support for long-term planning and decision-making on the strategic level. Some general reflections and insights from the work on these applications conclude the paper.