bluuebunny/crossref_metadata_2025 huggingface dataset:
Decision Support System in the Nursing Instruction Information System
Authors: Huang Hui Ling  , Chen Chun Jen
Published: February 2025

The purpose of this study is to explore the usage frequency of the decision support instruction in the nursing information system, and to survey the technology acceptance among nurses in one hospital. The results indicated that the usage frequency of the care instruction was increased from 191.3 to 1308.5 per month. Nurses also rated the “perceived usefulness” the highest score, followed by “perceived ease of use” in the survey.
What if It Was Like a Departure Lounge at an Airport?
Authors: Nilsson Lina  , Hofflander Malin
Published: February 2025

eHealth is implemented in everyday work practice as a tool to improve accessibility and patient participation as well as healthcare efficiency. The aim of this study was to explore healthcare staff's experiences and ideas about how eHealth ought to be designed to be a useful tool in everyday work practice in a Swedish healthcare organization. Healthcare staff (n=7) at the micro level in a Swedish healthcare organization, participated in four Participatory Design workshops about eHealth design. eHealth could be a more useful and efficient tool in everyday work practice if it were designed more purposefully for its local setting and intended users, like the information system in ‘a departure lounge of an airport’. Including healthcare staff in design discussions concerning eHealth tools for everyday work practice may improve the efficiency of eHealth as an everyday tool and support for healthcare staff.
VIH-TAVIE
Authors: Rouleau Geneviève  , Richard Lauralie  , Côté José
Published: February 2025

The use of information and communication technologies for designing web-based nursing interventions is growing exponentially. Despite the interest devoted to such approaches, little is known about their foundational principles and the way they translate into virtual nursing practice to generate meaningful engagement with patients. VIH-TAVIETMis a virtual nursing intervention aiming to empower people living with HIV to help them in managing their antiretroviral therapy. Here we present VIH-TAVIETMrelational model of engagement – its core components informed by interview data with patients and a virtual nurse: building a virtual presence founded on caring relational principles and values; creating a caring environment where patients feel safe, supported and respected; stimulating patients' engagement by offering supportive and tailored messages; transposing nursing communication skills into a virtual practice to build trust and reciprocal relationships. This study suggests that empowering connections can develop between a nurse and a patient within a caring virtual environment.
Textual Analysis and Data Mining: An Interpreting Research on Nursing
Authors: De Caro W.  , Mitello L.  , Marucci A.R.  , Lancia L.  , Sansoni J.
Published: February 2025

Every day there is a data explosion on the web. In 2013, 5 exabytes of content were created each day. Every hour internet networks carries a quantity of texts equivalent to twenty billion books. For idea Iit is a huge mass of information on the linguistic behavior of people and society that was unthinkable until a few years ago. It is an opportunity for valuable analysis for understanding social phenomena, also in nursing and health care sector.This poster shows the the steps of an idealy strategy for textual statistical analysis and the process of extracting useful information about health care, referring expecially nursing care from journal and web information. We show the potential of web tools of Text Mining applications (DTM, Wordle, Voyant Tools, Taltac 2.10, Treecloud and other web 2.0 app) analyzing text data and information extraction about sentiment, perception, scientific activites and visibility of nursing. This specific analysis is conduct analyzing “Repubblica”, first newspaper in Italy (years of analisys: 2012–14) and one italian scientific nursing journal (years: 2012–14).
A Formal Ontology of Texts
Authors: Garbacz Pawel
Published: February 2025

The paper outlines a formal ontology of texts. The main ontological distinction I try to capture is the difference between tokens of texts (physical texts) and texts (abstract texts) themselves. The latter are understood here as ontologically dependent on the former in the sense spelled out by the axioms of the ontology. I formally characterise both types by means of their criteria of identity and existence, parthood, spatial occupancy, text precedence, and intentionality.
PlateRunner: A Search Engine to Identify EMR Boilerplates
Authors: Divita Guy  , Workman T. Elizabeth  , Carter Marjorie E.  , Redd Andrew  , Samore Matthew H.  , Gundlapalli Adi V.
Published: February 2025

Medical text contains boilerplated content, an artifact of pull-down forms from EMRs. Boilerplated content is the source of challenges for concept extraction on clinical text. This paper introduces PlateRunner, a search engine on boilerplates from the US Department of Veterans Affairs (VA) EMR. Boilerplates containing concepts should be identified and reviewed to recognize challenging formats, identify high yield document titles, and fine tune section zoning. This search engine has the capability to filter negated and asserted concepts, save and search query results. This tool can save queries, search results, and documents found for later analysis.
Life Saving Apps: Linking Cardiac Arrest Victims to Emergency Services and Volunteer Responders
Authors: Lim Choi Keung Sarah N.  , Khan Mohammed O.  , Smith Christopher  , Perkins Gavin  , Murphy Paddie  , Arvanitis Theodoros N.
Published: February 2025

In cases of emergency, such as out-of-hospital cardiac arrests, the first few minutes are crucial for victims to receive care and have a positive outcome. However, emergency services often arrive on scene after those first few minutes, making any bridging solutions key. Finding a defibrillator or accessing a trained volunteer responder are some of the technological solutions that are being developed to support the chain of survival. This paper looks at technologies, in particular those linked to mobile apps that have been used to locate defibrillators and responder apps that enable responders to attend to nearby emergencies. We review a selection of apps and also assess the challenges and considerations for such apps.
Employing Data from Diagnosed Patients for Undiagnosed Type 2 Diabetes Detection
Authors: Hajarolasvadi Noushin  , Sheikhi Ghazaal  , Altinçay Hakan
Published: February 2025

In this study, it is aimed to generate improved models for detecting undiagnosed type II diabetes mellitus patients by employing data from both undiagnosed and diagnosed patients. The main motivation is that, with the widespread use of electronic health records, increasing amount of data is accumulating for diagnosed patients. In our simulations, the training sets are allowed to include data from both undiagnosed and diagnosed patients. The models generated are then evaluated using the undiagnosed patients. Experimental results have shown that the data from diagnosed patients do not help to improve the detection performance of undiagnosed patients.
An Implementation of Clinical Data Repository with openEHR Approach: From Data Modeling to Architecture
Authors: Min Lingtong  , Liu Juanjian  , Lu Xudong  , Duan Huilong  , Qiao Qingzhi
Published: February 2025

Since electronic healthcare records are widely implemented in the hospitals, the explosion of the clinical data brings great opportunities to secondary use. Clinical data repository (CDR) plays an important role in clinical data using, including healthcare service, research and management. With evolving of clinical knowledge, it is a challenge for CDR to meet more and more requirements with adaptability and flexibility. In order to overcome this challenge, this paper proposed a solution that implemented a CDR with openEHR approach from data model to implementation. This study modelled archetypes according actual CDR requirements and implemented a CDR system in a tertiary hospital. Furthermore, this study developed data applications to facilitate healthcare service and research based on the CDR. The results of CDR system and data application demonstrate that openEHR approach could meet the continually evolving need of systems.
Hello Harlie: Enabling Speech Monitoring Through Chat-Bot Conversations
Authors: Ireland David  , Atay Christina  , Liddle Jacki  , Bradford Dana  , Lee Helen  , Rushin Olivia  , Mullins Thomas  , Angus Dan  , Wiles Janet  , McBride Simon  , Vogel Adam
Published: February 2025

People with neurological conditions such as Parkinson's disease and dementia are known to have difficulties in language and communication. This paper presents initial testing of an artificial conversational agent, called Harlie. Harlie runs on a smartphone and is able to converse with the user on a variety of topics. A description of the application and a sample dialog are provided to illustrate the various roles chat-bots can play in the management of neurological conditions. Harlie can be used for measuring voice and communication outcomes during the daily life of the user, and for gaining information about challenges encountered. Moreover, it is anticipated that she may also have an educational and support role.
Capturing Accurate and Useful Information on Medication-Related Telenursing Triage Calls
Authors: Lake R.  , Li L.  , Baysari M.  , Byrne M.  , Robinson M.  , Westbrook J.I.
Published: February 2025

Registered nurses providing telenursing triage and advice services record information on the medication related calls they handle. However the quality and consistency of these data were rarely examined. Our aim was to examine medication related calls made to the healthdirect advice service in November 2014, to assess their basic characteristics and how the data entry format influenced information collected and data consistency. Registered nurses selected the patient question type from a range of categories, and entered the medications involved in a free text field. Medication names were manually extracted from the free text fields. We also compared the selected patient question type with the free text description of the call, in order to gauge data consistency. Results showed that nurses provided patients with advice on medication-related queries in a timely matter (the median call duration of 9 minutes). From 1835 calls, we were able to identify and classify 2156 medications into 384 generic names. However, in 204 cases (11.2% of calls) no medication name was entered. A further 308 (15.0%) of the medication names entered were not identifiable. When we compared the selected patient question with the free text description of calls, we found that these were consistent in 63.27% of cases. Telenursing and triage advice services provide a valuable resource to the public with quick and easily accessible advice. To support nurses provide quality services and record accurate information about the queries, appropriate data entry format and design would be beneficial.
Fixed-Parameter Tractable Optimization Under DNNF Constraints
Authors: Koriche Frédéric  , Le Berre Daniel  , Lonca Emmanuel  , Marquis Pierre
Published: February 2025

Minimizing a cost function under a set of combinatorial constraints is a fundamental, yet challenging problem in AI. Fortunately, in various real-world applications, the set of constraints describing the problem structure is much less susceptible to change over time than the cost function capturing user's preferences. In such situations, compiling the set of feasible solutions during an offline step can make sense, especially when the target compilation language renders computationally easier the generation of optimal solutions for cost functions supplied “on the fly”, during the online step. In this paper, the focus is laid on Boolean constraints compiled into DNNF representations. We study the complexity of the minimization problem for several families of cost functions subject to DNNF constraints. Beyond linear minimization which is already known to be tractable in the DNNF language, we show that both quadratic minimization and submodular minization are fixed-parameter tractable for various subsets of DNNF. In particular, the fixed-parameter tractability of constrained submodular minimization is established using a natural parameter capturing the structural dissimilarity between the submodular cost function and the DNNF representation.
Unsupervised Ranking of Knowledge Bases for Named Entity Recognition
Authors: Mrabet Yassine  , Kilicoglu Halil  , Demner-Fushman Dina
Published: February 2025

With the continuous growth of freely accessible knowledge bases and the heterogeneity of textual corpora, selecting the most adequate knowledge base for named entity recognition is becoming a challenge in itself. In this paper, we propose an unsupervised method to rank knowledge bases according to their adequacy for the recognition of named entities in a given corpus. Building on a state-of-the-art, unsupervised entity linking approach, we propose several evaluation metrics to measure the lexical and structural adequacy of a knowledge base for a given corpus. We study the correlation between these metrics and three standard performance measures: precision, recall and F1 score. Our multi-domain experiments on 9 different corpora with 6 knowledge bases show that three of the proposed metrics are strong performance predictors having 0.62 to 0.76 Pearson correlation with precision and 0.96 correlation with both recall and F1 score.
Managing Energy Markets in Future Smart Grids Using Bilateral Contracts
Authors: Romain Caillière  , Samir Aknine  , Antoine Nongaillard  , Ramchurn Sarvapal D.
Published: February 2025

Future smart grids will empower home owners to buy energy from real-time markets, coalesce into energy cooperatives, and sell energy they generate from their local renewable energy sources. Such interactions by large numbers of small prosumers (that both consume and produce) will engender potentially unpredictable fluctuations in energy prices which could be detrimental to all actors in the system. Hence, in this paper, we propose negotiation mechanisms to orchestrate such interactions as well as pricing mechanisms to help stabilise energy prices on multiple time scales. We then prove 1) that our solution guarantees that, while prices fluctuations can be constrained, 2) that it is individually rational for agents to join energy cooperatives and 3) that the negotiation mechanisms we employ result in pareto-optimal solutions.
Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining
Authors: Young Jay  , Basile Valerio  , Kunze Lars  , Cabrio Elena  , Hawes Nick
Published: February 2025

Autonomous robots that are to assist humans in their daily lives are required, among other things, to recognize and understand the meaning of task-related objects. However, given an open-ended set of tasks, the set of everyday objects that robots will encounter during their lifetime is not foreseeable. That is, robots have to learn and extend their knowledge about previously unknown objects on-the-job. Our approach automatically acquires parts of this knowledge (e.g., the class of an object and its typical location) in form of ranked hypotheses from the Semantic Web using contextual information extracted from observations and experiences made by robots. Thus, by integrating situated robot perception and Semantic Web mining, robots can continuously extend their object knowledge beyond perceptual models which allows them to reason about task-related objects, e.g., when searching for them, robots can infer the most likely object locations. An evaluation of the integrated system on long-term data from real office observations, demonstrates that generated hypotheses can effectively constrain the meaning of objects. Hence, we believe that the proposed system can be an essential component in a lifelong learning framework which acquires knowledge about objects from real world observations.
Learning of Classification Models from Noisy Soft-Labels
Authors: Xue Yanbing  , Hauskrecht Milos
Published: February 2025

We develop and test a new classification model learning algorithm that relies on the soft-label information and that is able to learn classification models more rapidly and with a smaller number of labeled instances than existing approaches.
Efficient Computation of Deterministic Extensions for Dynamic Abstract Argumentation Frameworks
Authors: Greco Sergio  , Parisi Francesco
Published: February 2025

We address the problem of efficiently computing the extensions of abstract argumentation frameworks (AFs) which are updated by adding/deleting arguments or attacks. We focus on the two most popular ‘deterministic’ semantics (namely, grounded and ideal) and present two approaches for their incremental computation, well-suited to dynamic applications where updates to an initial AF are frequently performed to take into account new available knowledge.
Sets of Contrasting Rules to Identify Trigger Factors
Authors: Aleksandrova Marharyta  , Brun Armelle  , Chertov Oleg  , Boyer Anne
Published: February 2025

In this paper we introduce a new pattern, referred to as “set of contrasting rules”. The main originality of this pattern is that it allows to easily identify trigger factors: factors that can bring some event state changes. In real applications this pattern can thus be used to influence the values of some attributes, what was shown through the experiments conducted on a real dataset of census data.
Planning Tourist Agendas for Different Travel Styles
Authors: Ibañez Jesus  , Sebastia Laura  , Onaindia Eva
Published: February 2025

This paper describes e-Tourism2.0, a web-based recommendation and planning system for tourism activities that takes into account the preferences that define the travel style of the user. e-Tourism2.0 features a recommender system with access to various web services in order to obtain updated information about locations, monuments, opening hours, or transportation modes. The planning system of e-Tourism2.0 models the taste and travel style preferences of the user and creates a planning problem which is later solved by a planner, returning a personalized plan (agenda) for the tourist. e-Tourism2.0 contributes with a special module that calculates the recommendable duration of a visit for a user and the modeling of preferences into a planning problem.
Formalizing Commitment-Based Deals in Boolean Games
Authors: De Clercq Sofie  , Schockaert Steven  , Nowé Ann  , De Cock Martine
Published: February 2025

Boolean games (BGs) are a strategic framework in which agents' goals are described using propositional logic. Despite the popularity of BGs, the problem of how agents can coordinate with others to (at least partially) achieve their goals has hardly received any attention. However, negotiation protocols that have been developed outside the setting of BGs can be adopted for this purpose, provided that we can formalize (i) how agents can make commitments and (ii) how deals between coalitions of agents can be identified given a set of active commitments. In this paper, we focus on these two aims. First, we show how agents can formulate commitments that are in accordance with their goals, and what it means for the commitments of an agent to be consistent. Second, we formalize deals in terms of coalitions who can achieve their goals without help from others. We show that verifying the consistency of a set of commitments of one agent is ΠP2-complete while checking the existence of a deal in a set of mutual commitments is Σp2
On Labelling Statements in Multi-Labelling Argumentation
Authors: Baroni Pietro  , Governatori Guido  , Riveret Régis
Published: February 2025

In computational models of argumentation, argument justification has attracted more attention than statement justification, and significant sensitivity losses are identifiable when dealing with the justification of statements by otherwise appealing formalisms. This paper reappraises statement justification as a formalism-independent component in argument-based reasoning. We introduce a novel general model of argument-based reasoning based on multiple stages of labellings, the last one being devoted to statement justification, identify two alternative paths from argument acceptance to statement justification, and compare their expressiveness. We then show that this model encompasses several prominent literature proposals as special cases, thereby enabling a systematic comparison of existing approaches to statement justification, evidencing their merits and limits. Finally we illustrate our model by specifying a generic ignorance-aware statement justification and showing how it can be seamlessly integrated into different formalisms.
An Improved State Filter Algorithm for SIR Epidemic Forecasting
Authors: Huang Weipeng  , Provan Gregory
Published: February 2025

In epidemic modeling, state filtering is an excellent tool for enhancing the performance of traditional epidemic models. We introduce a novel state filter algorithm to further improve the performance of state-of-the-art approaches based on Susceptible-Infected-Recovered (SIR) models. The proposed algorithm merges two techniques, which are typically used separately: linear correction, as seen in the Ensemble Kalman Filter (EnKF), and resampling, as used in the Particle Filter (PF). We compare the inferential accuracy of our approach against the EnKF and the Ensemble Adjustment Kalman Filter (EAKF), using algorithms employing both an uncentered covariance matrix (UCM) and the standard column-centered covariance matrix (CCM). Our algorithm requires O(DN) more time than EnKF does, where D is the ensemble dimension and N denotes the ensemble size. We demonstrate empirically that our algorithm with UCM achieves the lowest root-mean-square-error (RMSE) and the highest correlation coefficient (CORR) amongst the selected methods, in 11 out of 14 major real-world scenarios. We show that the EnKF with UCM outperforms the EnKF with CCM, while the EAKF gains better accuracy with CCM in most scenarios.
Multi-Class Probabilistic Active Learning
Authors: Kottke Daniel  , Krempl Georg  , Lang Dominik  , Teschner Johannes  , Spiliopoulou Myra
Published: February 2025

This work addresses active learning for multi-class classification. Active learning algorithms optimize classifier performance by successively selecting the most beneficial instances from a pool of unlabeled instances to be labeled by an oracle. In this work, we study the influence of the following factors for active learning: (1) an instance's impact, (2) its posterior, and (3) the reliability of this posterior. To do so, we propose a new decision-theoretic approach, called multi-class probabilistic active learning (McPAL). Building on a probabilistic active learning framework, our approach is non-myopic, fast, and optimizes a performance measure (like accuracy) directly. Considering all influence factors, McPAL determines the expected gain in performance to compare the usefulness of instances. For this purpose, it calculates the density weighted expectation over the true posterior and over all possible labeling combinations in a closed-form solution. Thus, in contrast to other multi-class algorithms, it considers the posterior's reliability which improved the performance. In our experimental evaluation, we show that the combination of the selected influence factors works best and that McPAL is superior in comparison to various other multi-class active learning algorithms on six datasets.
Uncertainty-Sensitive Reasoning for Inferring sameAs Facts in Linked Data
Authors: Al-Bakri Mustafa  , Atencia Manuel  , David Jérôme  , Lalande Steffen  , Rousset Marie-Christine
Published: February 2025

Discovering whether or not two URIs described in Linked Data—in the same or different RDF datasets—refer to the same real-world entity is crucial for building applications that exploit the cross-referencing of open data. A major challenge in data interlinking is to design tools that effectively deal with incomplete and noisy data, and exploit uncertain knowledge. In this paper, we model data interlinking as a reasoning problem with uncertainty. We introduce a probabilistic framework for modelling and reasoning over uncertain RDF facts and rules that is based on the semantics of probabilistic Datalog. We have designed an algorithm, ProbFR, based on this framework. Experiments on real-world datasets have shown the usefulness and effectiveness of our approach for data linkage and disambiguation.
Hybrid Gaussian and von Mises Model-Based Clustering
Authors: Luengo-Sanchez Sergio  , Bielza Concha  , Larrañaga Pedro
Published: February 2025

Data collected about a phenomenon often measures its magnitude and direction. The most common approach to clustering this data assumes that directional data can be modeled as Gaussian. However, directional data has special properties that conventional statistics cannot handle. To deal with them, other approaches like the von Mises distribution must be applied. In this paper we present a new model based on mixtures of Bayesian networks to simultaneously cluster both linear and directional data.
A Dynamic Logic of Norm Change
Authors: Knobbout Max  , Dastani Mehdi  , Meyer John-Jules
Published: February 2025

Norms are effective and flexible means to control and regulate the behaviour of autonomous systems. Adding norms to a system changes its specification which may in turn ensure desirable system properties. As of yet, there is no generally agreed formal methodology to represent and reason about the dynamics of norms and their impacts on system specifications. In this paper, we introduce various types of norms, such as state-based or action-based norms, and gradually develop a dynamic modal logic to characterize the dynamics of such norms in a formal way. The logic can be used to prove various properties of norm dynamics and their impacts on system specification. Moreover, we show that this logic is sound and complete.
An Empirical Evaluation of Mobile Software Usability Using ISO 9126 and QoS DiffServ Model
Authors: Moumane Karima  , Idri Ali  , Nafil Khalid
Published: February 2025

The aim of this paper is to empirically evaluate a framework that we have developed on the use of the software quality standard ISO 9126 with the Differentiated Services (DiffServ) Quality of Service (QoS) model to assess the software quality of mobile applications, especially the software usability characteristic. To do that, firstly we have carried out an empirical evaluation of the influence of mobile limitations on Diffserv classes by means of the Sensorly tool. Thereafter, a correlation between the influence of mobile limitations on DiffServ classes and its effects on usability characteristic is discussed. As a result of this empirical study, the usability is less correlated with Diffserv classes in terms of influence of mobile limitations given that this characteristic corresponds to the presentation layer unlike the Diffserv model which would focus on the network level quality.
Patient-Provider Teamwork via Cooperative Note Taking on Tele-Board MED
Authors: Perlich Anja  , Meinel Christoph
Published: February 2025

There is significant, unexploited potential to improve the patients' engagement in psychotherapy treatment through technology use. We develop Tele-Board MED (TBM), a digital tool to support documentation and patient-provider collaboration in medical encounters. Our objective is the evaluation of TBM's practical effects on patient-provider relationships and patient empowerment in the domain of talk-based mental health interventions. We tested TBM in individual therapy sessions at a psychiatric ward using action research methods. The qualitative results in form of therapist observations and patient stories show an increased acceptance of diagnoses and patient-therapist bonding. We compare the observed effects to patient-provider relationship and patient empowerment models. We can conclude that the functions of TBM – namely that notes are shared and cooperatively taken with the patient, that diagnostics and treatment procedures are depicted via visuals and in plain language, and that patients get a copy of their file – lead to increased patient engagement and an improved collaboration, communication and integration in consultations.
The Patient Portal of the Personal Cross-Enterprise Electronic Health Record (PEHR) in the Rhine-Neckar-Region
Authors: Brandner Antje  , Schreiweis Björn  , Aguduri Lakshmi S.  , Bronsch Tobias  , Kunz Aline  , Pensold Peter  , Stein Katharina E.  , Weiss Nicolas  , Yüksekogul Nilay  , Bergh Björn  , Heinze Oliver
Published: February 2025

Over the last years we stepwise implemented our vision of a personal cross-enterprise electronic health record (PEHR) in the Rhine-Neckar-Region in Germany. The patient portal is one part of the PEHR architecture with IHE connectivity. The patient is enabled to access and manage his medical record by use of the patient portal. Moreover, he can give his consent regarding which healthcare providers are allowed to send data into or read data from his medical record. Forthcoming studies will give evidence for improvements and further requirements to develop.
A Smartwatch-Driven Medication Management System Compliant to the German Medication Plan
Authors: Keil Andreas  , Gegier Konstantin  , Pobiruchin Monika  , Wiesner Martin
Published: February 2025

Medication adherence is an important factor for the outcome of medical therapies. To support high adherence levels, smartwatches can be used to assist the patient. However, a successful integration of such devices into clinicians' or general practitioners' information systems requires the use of standards. In this paper, a medication management system supplied with smartwatch generated feedback events is presented. It allows physicians to manage their patients' medications and track their adherence in real time. Moreover, it fosters interoperability via a ISO/IEC 16022 data matrix which encodes related medication data in compliance with the German Medication Plan specification.
Human-Centered Design of an mHealth App for the Prevention of Burnout Syndrome
Authors: Narváez Santiago  , Tobar Ángela M.  , López Diego M.  , Blobel Bernd
Published: February 2025

Background: Stress-related disorders have become one of the main health problems in many countries and organizations worldwide. They can generate depression and anxiety, and could derive in work absenteeism and reduction in productivity.
Making Medication Data Meaningful: Illustrated with Hypertension
Authors: Williams Richard  , Brown Benjamin  , Peek Niels  , Buchan Iain
Published: February 2025

We demonstrate, with application to hypertension management, an algorithm for reconstructing therapeutic decisions from electronic primary care medication prescribing records. These decisions concern the initiation, termination and alteration of therapy, and have further utility in: monitoring patient adherence to medication; care pathway analysis including process mining; advanced phenotype construction; audit and feedback; and in measuring care quality.
eHealth Terminology Management in Austria
Authors: Seerainer Carina  , Sabutsch Stefan W.
Published: February 2025

When it comes to establishing and operating a nationwide personal health record (PHR), effective and efficient terminology management including the development, administration, maintenance and publishing of terminologies is a precondition for semantic interoperability. In the Austrian national patient health record “ELGA” all relevant terminologies are provided and distributed by means of a CTS2-conformant terminology server. In the following article, issues and lessons learned from terminology management in a large-scale eHealth project are presented. Experience has proved the necessity of a national authority for medical terminology management in Austria.
Facilitating Inter-Domain Synergies in Ambient Assisted Living Environments
Authors: Schwartze Jonas  , Schrom Harald  , Wolf Klaus-Hendrik  , Marschollek Michael
Published: February 2025

Current Ambient Assisted Living (AAL) environments lack integration of sensors and actuators of other sub-domains. Creating technical and organizational integration is addressed by the BASIS project (Build Automation by a Scalable and Intelligent System), which aims to build a cross-domain home bus system. The main objective of this paper is to present an overview of design, architecture and state of realization of BASIS by describing the requirements development process, underlying hardware design and software architecture. We built a distributed system of one independent building manager with several redundantly meshed segment controllers, each controlling a bus segment with any number of bus nodes. The software system layer is divided into logical partitions representing each sub-domain. Structured data storage is possible with a special FHIR based home centered data warehouse. The system has been implemented in six apartments running under daily living conditions. BASIS integrates a broad range of sub-domains, which poses challenges to all project partners in terms of a common terminology, and project management methods, but enables development of inter-domain synergies like using the same sensor and actuator hardware for a broad range of services and use cases.
Towards an International Framework for Recommendations of Core Competencies in Nursing and Inter-Professional Informatics: The TIGER Competency Synthesis Project
Authors: Hübner Ursula  , Shaw Toria  , Thye Johannes  , Egbert Nicole  , Marin Heimar  , Ball Marion
Published: February 2025

Informatics competencies of the health care workforce must meet the requirements of inter-professional process and outcome oriented provision of care. In order to help nursing education transform accordingly, the TIGER Initiative deployed an international survey, with participation from 21 countries, to evaluate and prioritise a broad list of core competencies for nurses in five domains: 1) nursing management, 2) information technology (IT) management in nursing, 3) interprofessional coordination of care, 4) quality management, and 5) clinical nursing. Informatics core competencies were found highly important for all domains. In addition, this project compiled eight national cases studies from Austria, Finland, Germany, Ireland, New Zealand, the Philippines, Portugal, and Switzerland that reflected the country specific perspective. These findings will lead us to an international framework of informatics recommendations.
Semi-Automated Annotation of Biobank Data Using Standard Medical Terminologies in a Graph Database
Authors: Hofer Philipp  , Neururer Sabrina  , Goebel Georg
Published: February 2025

Data describing biobank resources frequently contains unstructured free-text information or insufficient coding standards. (Bio-) medical ontologies like Orphanet Rare Diseases Ontology (ORDO) or the Human Disease Ontology (DOID) provide a high number of concepts, synonyms and entity relationship properties. Such standard terminologies increase quality and granularity of input data by adding comprehensive semantic background knowledge from validated entity relationships. Moreover, cross-references between terminology concepts facilitate data integration across databases using different coding standards. In order to encourage the use of standard terminologies, our aim is to identify and link relevant concepts with free-text diagnosis inputs within a biobank registry. Relevant concepts are selected automatically by lexical matching and SPARQL queries against a RDF triplestore. To ensure correctness of annotations, proposed concepts have to be confirmed by medical data administration experts before they are entered into the registry database. Relevant (bio-) medical terminologies describing diseases and phenotypes were identified and stored in a graph database which was tied to a local biobank registry. Concept recommendations during data input trigger a structured description of medical data and facilitate data linkage between heterogeneous systems.
Morbidity Related Groups (MRG) for Epidemiological Analysis in Outpatient Treatment
Authors: Schuster Reinhard  , Emcke Timo  , von Arnstedt Eva  , Heidbreder Marc
Published: February 2025

Each patient in outpatient treatment is assigned per quarter and corresponding physician to a case group that is strongly related to the morbidity (Morbidity Related Group, MRG). MRG is defined by the drug group on a four character level in the international anatomic-therapeutic-chemical (ATC) classification with the largest costs as an indicator for the severity of the drug treatment. Using severity levels we get a risk adjustment with respect to age and polypharmacy as an indicator for multimorbidity and treatment intensity. By application of MRG groups we generate a patient type classification in relation to physicians and a distance structure of the medical disciplines.
Development of a Model for Planning Specialist Education of Medical Doctors in Croatia
Authors: Relić Danko
Published: February 2025

Development of a model for simulation of the needed number of specialists of different specialties in the Republic of Croatia by the year 2035 based on the expected changes in size and age structure of population and experts' estimates of the needs. The model will be implemented in the form of a computer program based on the estimated most potent predictors. The developed model will be used as a tool for the simulation of different scenarios for specialist education combined with other factors like migration flows, changes in retirement age and skill mixing in order to compare different possibilities and options for the renewal of the Croatian healthcare personnel. Results will enable the development of recommendations for decision making and the adoption of a rational plan of referral to specialist training. Indirectly, developed model will be useful for needs assessment and simulation and planning of workforce renewal of other health professionals and for other countries
Sentiment Classification of Social Media Content with Features Generated Using Topic Models
Authors: Blair Stuart J.  , Bi Yaxin  , Mulvenna Maurice D.
Published: February 2025

This paper presents a method for using topic distributions generated from topic models as features for performing sentiment analysis on documents. This will be tested in the social media domain, specifically Twitter. The proposed approach allows for the mapping from word space to topic space which allows for less features to be needed and also reduces computational complexity. Multiple machine learning algorithms will be used to test the topic model generated features and a number of different versions of test corpus will be used, including unigrams, bigrams, part-of-speech tagging and adjectives only. The method proposed will also be compared to other notable topic-sentiment methods such as the aspect-sentiment unification model and the joint sentiment/topic model. The results show that using topic distributions can improve the accuracy of classification algorithms, however, the performance can be dependent on the algorithm used and the initial features used. Additionally, we show that using only topics as features outperforms the hybrid topic-sentiment models.
The Effect of Mobility and Emotion on Interactions in Multi-Agent Systems
Authors: Collenette Joe  , Atkinson Katie  , Bloembergen Daan  , Tuyls Karl
Published: February 2025

Simulating emotions within a group of agents has been shown to support co-operation in the prisoner's dilemma game. Most work on simulating these emotions has focused on environments where the agents do not move, that is, they are static and their neighbours are fixed. However, it has also been shown in other work that when an agent is given the ability to move, then the type of the environment affects how co-operation evolves in the group of agents. In this paper, we investigate the combination of these two ideas in an experimental study that explores the effects on co-operation when autonomous agents that can show emotions are given the ability to move within structured environments. We observe that once mobility is introduced, different strategies become successful. Successful strategies respond quickly to defection, while not immediately reciprocating co-operation, regardless of the environment type. The further an agent travels, the higher its average payoff in a small world environment. The slower an agent is to copy another agent by imitating its strategy, the higher its increase in average payoff.
Accessibility in Public Buildings: Efficiency of Checklist Protocols
Authors: Andersson Jonas E.  , Skehan Terry
Published: February 2025

In Sweden, governmental agencies and bodies are required to implement a higher level of accessibility in their buildings than that stipulated by the National Building and Planning Act (PBL). The Swedish Agency for Participation (MFD, Myndigheten för delaktighet) develops holistic guidelines in order to conceptualize this higher level of accessibility. In conjunction to these guidelines, various checklist protocols have been produced. The present study focuses on the efficiency of such checklist protocols. The study revolved around the use of a checklist protocol in assessments of two buildings in Stockholm: the new head office for the National Authority for Social Insurances (ASI) and the School of Architecture at the Royal Institute of Technology (KTH). The study included three groups: Group 1 and Group 2 consisted of 50 real estate managers employed by the ASI, while Group 3 consisted of three participants in a course at the KTH. The results were similar in all of the groups. The use of the checklist protocol generated queries, which related mainly to two factors: (1) the accompanying factsheet consisted of textual explanations with no drawings, photographs or illustrations and (2) the order of the questions in the checklist protocol was difficult to correlate with the two buildings' spatial logic of accessing, egressing and making use of the built space.
The General Opinion on Accessibility – Research About the Attitudes in Finland
Authors: Nordlund Marika  , Maunula Kirsi  , Kilpelä Niina
Published: February 2025

The public discussion about accessibility in the built environment has been recently very ambivalent in Finland. Finnish Government programme includes 26 key projects and one of them links with deregulation of building legislation. In addition to this, according to the preliminary media analysis carried out by The Finnish Association of People with Physical Disabilities (FPD) the traditional media in Finland seems to give somewhat more support to those opposing accessibility than those supporting it. FPD wanted to find out people's attitudes towards accessibility and the possible disadvantages they see in promoting accessibility. The purpose was to get background information to influence on attitudes and to launch a positive attitude campaign. FPD commissioned a survey about the accessibility in built environment and find out that surprisingly, based on the survey, the opinions of the majority of people are not as negative as expected.
Understanding WCAG2.0 Colour Contrast Requirements Through 3D Colour Space Visualisation
Authors: Sandnes Frode Eika
Published: February 2025

Sufficient contrast between text and background is needed to achieve sufficient readability. WCAG2.0 provides a specific definition of sufficient contrast on the web. However, the definition is hard to understand and most designers thus use contrast calculators to validate their colour choices. Often, such checks are performed after design and this may be too late. This paper proposes a colour selection approach based on three-dimensional visualisation of the colour space. The complex non-linear relationships between the colour components become comprehendible when viewed in 3D. The method visualises the available colours in an intuitive manner and allows designers to check a colour against the set of other valid colours. Unlike the contrast calculators, the proposed method is proactive and fun to use. A colour space builder was developed and the resulting models were viewed with a point cloud viewer. The technique can be used as both a design tool and a pedagogical aid to teach colour theory and design.
Understanding and Supporting Web Developers: Design and Evaluation of a Web Accessibility Information Resource (WebAIR)
Authors: Swallow David  , Petrie Helen  , Power Christopher
Published: February 2025

This paper describes the design and evaluation of a Web Accessibility Information Resource (WebAIR) for supporting web developers to create and evaluate accessible websites. WebAIR was designed with web developers in mind, recognising their current working practices and acknowledging their existing understanding of web accessibility. We conducted an evaluation with 32 professional web developers in which they used either WebAIR or an existing accessibility information resource, the Web Content Accessibility Guidelines, to identify accessibility problems. The findings indicate that several design decisions made in relation to the language, organisation, and volume of WebAIR were effective in supporting web developers to undertake web accessibility evaluations.
Argumentation Ranking Semantics Based on Propagation
Authors: Bonzon Elise  , Delobelle Jérôme  , Konieczny Sébastien  , Maudet Nicolas
Published: February 2025

Argumentation is based on the exchange and the evaluation of interacting arguments. Unlike Dung's theory where arguments are either accepted or rejected, ranking-based semantics rank-order arguments from the most to the least acceptable ones. We propose in this work six new ranking-based semantics. We argue that, contrarily to existing ranking semantics in the literature, that focus on evaluating attacks and defenses only, it is reasonable to give a prominent role to non-attacked arguments, as it is the case in standard Dung's semantics. Our six semantics are based on the propagation of the weight of each argument to its neighbors, where the weight of non-attacked arguments is greater than the attacked ones.
A Dialectical Approach for Argument-Based Judgment Aggregation
Authors: Caminada Martin  , Booth Richard
Published: February 2025

The current paper provides a dialectical interpretation of the argumentation-based judgment aggregation operators of Caminada and Pigozzi. In particular, we define discussion-based proof procedures for the foundational concepts of down-admissible and up-complete. We then show how these proof procedures can be used as the basis of dialectical proof procedures for the sceptical, credulous and super credulous judgment aggregation operators.
Generating Structured Argumentation Frameworks: AFBenchGen2
Authors: Cerutti Federico  , Giacomin Massimiliano  , Vallati Mauro
Published: February 2025

In this paper we describe AFBenchGen2, which allows to randomised argumentation frameworks for testing purposes with a large variety of structures.