ROSE - Software Implementation of the Rough Set Theory. - Bartlomiej Predki; Roman Slowinski; Jerzy Stefanowski; Robert Susmaga; Szymon Wilk (Rough Sets and Current Trends in Computing, 1998)

Rough Set Based Data Exploration Using ROSE System. - Bartlomiej Predki; Szymon Wilk (ISMIS, 1999)

Evaluating business credit risk by means of approach-integrating decision rules and case-based learning. - Jerzy Stefanowski; Szymon Wilk (Intell. Syst. Account. Finance Manag., 2001)

Mobile clinical support system for pediatric emergencies. - Wojtek Michalowski; Steven Rubin; Roman Slowinski; Szymon Wilk (Decis. Support Syst., 2003)

Mobile Emergency Triage Support System. - Wojtek Michalowski; Roman Slowinski; Szymon Wilk (AAAI, 2004)

Triage of Acute Abdominal Pain in Childhood: Clinical Use of a Palm Handheld in a Pediatric Emergency Department. - Wojtek Michalowski; Steven Rubin; Roman Slowinski; Szymon Wilk (HICSS, 2004)

Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System. - Ken Farion; Wojtek Michalowski; Roman Slowinski; Szymon Wilk; Steven Rubin (Rough Sets and Current Trends in Computing, 2004)

Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System. - Jerzy Blaszczynski; Ken Farion; Wojtek Michalowski; Szymon Wilk; Steven Rubin; Dawid Weiss (AIME, 2005)

Supporting triage of children with abdominal pain in the emergency room. - Szymon Wilk; Roman Slowinski; Wojtek Michalowski; Salvatore Greco (Eur. J. Oper. Res., 2005)

A Comparison of Two Approaches to Data Mining from Imbalanced Data. - Jerzy W. Grzymala-Busse; Jerzy Stefanowski; Szymon Wilk (J. Intell. Manuf., 2005)

Decision Making by Emergency Room Physicians and Residents: Results From a Clinical Trial. - Ken Farion; Michael J. Hine; Wojtek Michalowski; Szymon Wilk (AMCIS, 2006)

Ontologies for Knowledge Modeling and Creating User Interface in the Framework of Telemedical Portal. - Jerzy Blaszczynski; Michal Kosiedowski; Cezary Mazurek; Szymon Wilk (ECEH, 2006)

Bayesian Belief Network Model of the Radical Prostatectomy Pathway. - Wojtek Michalowski; Szymon Wilk; Anthony Thijssen; Mingmei Li (HICSS, 2006)

Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes. - Ken Farion; Wojtek Michalowski; Szymon Wilk (RSCTC, 2006)

Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers. - Jerzy Stefanowski; Szymon Wilk (Fundam. Informaticae, 2006)

A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care. - Dympna O'Sullivan; Ken Farion; Stan Matwin; Wojtek Michalowski; Szymon Wilk (K4CARE, 2007)

Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data. - Dympna O'Sullivan; William Elazmeh; Szymon Wilk; Ken Farion; Stan Matwin; Wojtek Michalowski; Morvarid Sehatkar (MCD, 2007)

Designing man-machine interactions for mobile clinical systems: MET triage support using Palm handhelds. - Wojtek Michalowski; Marta Kersten; Szymon Wilk; Roman Slowinski (Eur. J. Oper. Res., 2007)

A Constraint Satisfaction Approach to Data-Driven Implementation of Clinical Practice Guidelines. - Craig E. Kuziemsky; Dympna O'Sullivan; Wojtek Michalowski; Szymon Wilk; Ken Farion (AMIA, 2008)

Engineering of a Clinical Decision Support Framework for the Point of Care Use. - Szymon Wilk; Wojtek Michalowski; Dympna O'Sullivan; Ken Farion; Stan Matwin (AMIA, 2008)

Selective Pre-processing of Imbalanced Data for Improving Classification Performance. - Jerzy Stefanowski; Szymon Wilk (DaWaK, 2008)

Prospective evaluation of the MET-AP system providing triage plans for acute pediatric abdominal pain. - Ken Farion; Wojtek Michalowski; Steven Rubin; Szymon Wilk; Rhonda Correll; Isabelle Gaboury (Int. J. Medical Informatics, 2008)

Decision Making by Emergency Room Physicians and Residents: Implications for the Design of Clinical Decision Support Systems. - Michael J. Hine; Ken Farion; Wojtek Michalowski; Szymon Wilk (Int. J. Heal. Inf. Syst. Informatics, 2009)

Identifying inconsistencies in multiple clinical practice guidelines for a patient with co-morbidity. - Marisela Mainegra Hing; Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Ken Farion (BIBM Workshops, 2010)

Representing clinical documents to support automatic retrieval of evidence from the Cochrane Library. - Dympna O'Sullivan; Wojtek Michalowski; Martin Michalowski; Szymon Wilk; Ken Farion (BIBM Workshops, 2010)

MET3-AE System to Support Management of Pediatric Asthma Exacerbation in the Emergency Department. - Szymon Wilk; Wojtek Michalowski; Ken Farion; Jelber Sayyad-Shirabad (MedInfo, 2010)

Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble. - Jerzy Blaszczynski; Magdalena Deckert; Jerzy Stefanowski; Szymon Wilk (RSCTC, 2010)

Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data. - William Klement; Szymon Wilk; Martin Michalowski; Ken Farion (RSCTC, 2010)

Learning from Imbalanced Data in Presence of Noisy and Borderline Examples. - Krystyna Napierala; Jerzy Stefanowski; Szymon Wilk (RSCTC, 2010)

Automatic indexing and retrieval of encounter-specific evidence for point-of-care support. - Dympna O'Sullivan; Szymon Wilk; Wojtek Michalowski; Ken Farion (J. Biomed. Informatics, 2010)

A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children. - Ken Farion; Wojtek Michalowski; Szymon Wilk; Dympna O'Sullivan; Stan Matwin (J. Medical Syst., 2010)

Classifying Severely Imbalanced Data. - William Klement; Szymon Wilk; Wojtek Michalowski; Stan Matwin (Canadian AI, 2011)

A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity. - Martin Michalowski; Marisela Mainegra Hing; Szymon Wilk; Wojtek Michalowski; Ken Farion (AIME, 2011)

Discovering the Preferences of Physicians with Regards to Rank-Ordered Medical Documents. - Dympna O'Sullivan; Szymon Wilk; Wojtek Michalowski; Roman Slowinski; Roland Thomas; Ken Farion (IPMU (3), 2012)

Indexing and Retrieval of Medical Resources for a Telemedical Platform. - Bartosz Kukawka; Szymon Wilk (ITIB, 2012)

Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers. - William Klement; Szymon Wilk; Wojtek Michalowski; Ken Farion; Martin H. Osmond; Vedat Verter (Artif. Intell. Medicine, 2012)

IIvotes ensemble for imbalanced data. - Jerzy Blaszczynski; Magdalena Deckert; Jerzy Stefanowski; Szymon Wilk (Intell. Data Anal., 2012)

Implementing an Integrative Multi-agent Clinical Decision Support System with Open Source Software. - Jelber Sayyad-Shirabad; Szymon Wilk; Wojtek Michalowski; Ken Farion (J. Medical Syst., 2012)

Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines. - Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Di Lin 001; Ken Farion; Subhra Mohapatra (AIME, 2013)

Hypothesis-Driven Interactive Classification Based on AVO. - Tomasz Lukaszewski; Jedrzej Potoniec; Szymon Wilk (ICMMI, 2013)

Using PICO to Align Medical Evidence with MDs Decision Making Models. - Dympna O'Sullivan; Szymon Wilk; Wojtek Michalowski; Ken Farion (MedInfo, 2013)

Clinical Practice Guidelines and Comorbid Diseases: A MiniZinc Representation of Guideline Models for Mitigating Adverse Interactions. - Szymon Wilk; Martin Michalowski; Wojtek Michalowski; Ken Farion; Di Lin 001; Marisela Mainegra Hing; Subhra Mohapatra (MedInfo, 2013)

Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming. - Szymon Wilk; Wojtek Michalowski; Martin Michalowski; Ken Farion; Marisela Mainegra Hing; Subhra Mohapatra (J. Biomed. Informatics, 2013)

Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions. - Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Xing Tan 002; Daniela Rosu 002 (AAAI Fall Symposia, 2014)

A Framework for Incorporating Patient Preferences to Deliver Participatory Medicine via Interdisciplinary Healthcare Teams. - Craig E. Kuziemsky; Davood Astaraky; Szymon Wilk; Wojtek Michalowski; Pavel Andreev (AMIA, 2014)

First-Order Logic Theory for Manipulating Clinical Practice Guidelines Applied to Comorbid Patients: A Case Study. - Martin Michalowski; Szymon Wilk; Xing Tan 002; Wojtek Michalowski (AMIA, 2014)

MET4: Supporting Workflow Execution for Interdisciplinary Healthcare Teams. - Szymon Wilk; Davood Astaraky; Wojtek Michalowski; Daniel Amyot; Runzhuo Li; Craig E. Kuziemsky; Pavel Andreev (Business Process Management Workshops, 2014)

Sequential Classification by Exploring Levels of Abstraction. - Tomasz Lukaszewski; Szymon Wilk (KES, 2014)

Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions. - Szymon Wilk; Martin Michalowski; Xing Tan 002; Wojtek Michalowski (KR4HC@VSL, 2014)

Expanding a First-Order Logic Mitigation Framework to Handle Multimorbid Patient Preferences. - Martin Michalowski; Szymon Wilk; Daniela Rosu 002; Mounira Kezadri; Wojtek Michalowski; Marc Carrier (AMIA, 2015)

A Framework for Modeling Workflow Execution by an Interdisciplinary Healthcare Team. - Mounira Kezadri-Hamiaz; Daniela Rosu 002; Szymon Wilk; Craig E. Kuziemsky; Wojtek Michalowski; Marc Carrier (MedInfo, 2015)

Aligning Interdisciplinary Healthcare Team Behavior with Workflow Execution: An Example of a Radical Prostatectomy Workflow. - Szymon Wilk; Dympna O'Sullivan; Mounira Kezadri-Hamiaz; Craig E. Kuziemsky; Daniela Rosu 002; Wojtek Michalowski; Michael Fung Kee Fung (CBMS, 2016)

Application of Preprocessing Methods to Imbalanced Clinical Data: An Experimental Study. - Szymon Wilk; Jerzy Stefanowski; Szymon Wojciechowski; Ken J. Farion; Wojtek Michalowski (ITIB (1), 2016)

Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System. - Szymon Wilk; Mounira Kezadri-Hamiaz; Daniela Rosu 002; Craig E. Kuziemsky; Wojtek Michalowski; Daniel Amyot; Marc Carrier (J. Medical Syst., 2016)

Classification with test costs and background knowledge. - Tomasz Lukaszewski; Szymon Wilk (Knowl. Based Syst., 2016)

AFGuide System to Support Personalized Management of Atrial Fibrillation. - Martin Michalowski; Wojtek Michalowski; Szymon Wilk; Dympna O'Sullivan; Marc Carrier (AAAI Workshops, 2017)

Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures. - Anam Haq; Szymon Wilk (ADBIS (Short Papers and Workshops), 2017)

Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines. - Szymon Wilk; Adi Fux; Martin Michalowski; Mor Peleg; Pnina Soffer (AIME, 2017)

An Algorithm for Selective Preprocessing of Multi-class Imbalanced Data. - Szymon Wojciechowski; Szymon Wilk; Jerzy Stefanowski (CORES, 2017)

Supporting process execution by interdisciplinary healthcare teams: Middleware design for IBM BPM. - Nihan Çatal; Daniel Amyot; Wojtek Michalowski; Mounira Kezadri-Hamiaz; Malak Baslyman; Szymon Wilk; Randy Giffen (EUSPN/ICTH, 2017)

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. - Monica Anderson 001; Roman Barták; John S. Brownstein; David L. Buckeridge; Hoda Eldardiry; Christopher W. Geib; Maria L. Gini; Aaron Isaksen; Sarah Keren; Robert Laddaga; Viliam Lisý; Rodney Martin; et al. (AI Mag., 2017)

Comprehensive mitigation framework for concurrent application of multiple clinical practice guidelines. - Szymon Wilk; Martin Michalowski; Wojtek Michalowski; Daniela Rosu 002; Marc Carrier; Mounira Kezadri-Hamiaz (J. Biomed. Informatics, 2017)

Representing Drug Classes for Mitigating Concurrently Applied CPGs. - Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Marc Carrier (AMIA, 2018)

Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management. - Enea Parimbelli; Szymon Wilk; Stephen P. Kingwell; Pavel Andreev; Wojtek Michalowski (AMIA, 2018)

Application of Structural and Textural Features from X-ray Images to Predict the Type of Bone Fracture Treatment. - Anam Haq; Szymon Wilk (DOLAP, 2018)

Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management. - Mor Peleg; Wojtek Michalowski; Szymon Wilk; Enea Parimbelli; Silvia Bonaccio; Dympna O'Sullivan; Martin Michalowski; Silvana Quaglini; Marc Carrier (J. Medical Syst., 2018)

How Do Spinal Surgeons Perceive The Impact of Factors Used in Post-Surgical Complication Risk Scores? - Enea Parimbelli; Szymon Wilk; Dympna O'Sullivan; Stephen P. Kingwell; Wojtek Michalowski; Martin Michalowski (AMIA, 2019)

Fusion of clinical data: A case study to predict the type of treatment of bone fractures. - Anam Haq; Szymon Wilk; Alberto Abelló (Int. J. Appl. Math. Comput. Sci., 2019)

Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. - Miriam Seoane Santos; Pedro H. Abreu; Szymon Wilk; João A. M. Santos (AIME, 2020)

An ontology-driven framework to support the dynamic formation of an interdisciplinary healthcare team. - Szymon Wilk; Mounira Kezadri-Hamiaz; Daniel Amyot; Wojtek Michalowski; Craig E. Kuziemsky; Nihan Çatal; Daniela Rosu 002; Marc Carrier; Randy Giffen (Int. J. Medical Informatics, 2020)

How distance metrics influence missing data imputation with k-nearest neighbours. - Miriam Seoane Santos; Pedro Henriques Abreu; Szymon Wilk; João A. M. Santos (Pattern Recognit. Lett., 2020)

Personality and Habit Formation: Is There a Link? - Aneta Lisowska; Shiri Lavy; Szymon Wilk; Mor Peleg (SMARTERCARE@AI*IA, 2021)

From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data. - Aneta Lisowska; Szymon Wilk; Mor Peleg (SMARTERCARE@AI*IA, 2021)

Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. - Aneta Lisowska; Szymon Wilk; Mor Peleg (AIME, 2021)

MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning. - Martin Michalowski; Malvika Rao; Szymon Wilk; Wojtek Michalowski; Marc Carrier (AIME, 2021)

CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. - Enea Parimbelli; Matteo Gabetta; Giordano Lanzola; Francesca Polce; Szymon Wilk; David Glasspool; Alexandra Kogan; Roy Leizer; Vitali Gisko; Nicole Veggiotti; Silvia Panzarasa; Rowdy de Groot; et al. (AIME, 2021)

Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases. - Dympna O'Sullivan; William Van Woensel; Szymon Wilk; Samson W. Tu; Wojtek Michalowski; Samina Abidi; Marc Carrier; Ruth Edry; Irit Hochberg; Stephen P. Kingwell; Alexandra Kogan; Martin Michalowski; et al. (AMIA, 2021)

Is it a good time to survey you? Cognitive load classification from blood volume pulse. - Aneta Lisowska; Szymon Wilk; Mor Peleg (CBMS, 2021)

The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring. - Francesca Polce; Giordano Lanzola; Matteo Gabetta; Enea Parimbelli; Szymon Wilk; David Glasspool; Roy Leizer; Alexandra Kogan; Silvana Quaglini (MIE, 2021)

Benchmarking PySyft Federated Learning Framework on MIMIC-III Dataset. - Andrius Budrionis; Magda Miara; Piotr Miara; Szymon Wilk; Johan Gustav Bellika (IEEE Access, 2021)

MitPlan: A planning approach to mitigating concurrently applied clinical practice guidelines. - Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Marc Carrier (Artif. Intell. Medicine, 2021)

A review of AI and Data Science support for cancer management. - Enea Parimbelli; Szymon Wilk; Ronald Cornet; Pawel Sniatala; K. Sniatala; S. L. C. Glaser; Itske Fraterman; Annelies H. Boekhout; Manuel Ottaviano; Mor Peleg (Artif. Intell. Medicine, 2021)

Preface: AIME 2019. - David Riaño 001; Szymon Wilk; Annette ten Teije (Artif. Intell. Medicine, 2021)

Tree-based local explanations of machine learning model predictions, AraucanaXAI. - Enea Parimbelli; Giovanna Nicora; Szymon Wilk; Wojtek Michalowski; Riccardo Bellazzi (CoRR, 2021)

Comparision of Models Built Using AutoML and Data Fusion. - Anam Haq; Szymon Wilk; Alberto Abelló (ADBIS, 2022)

Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients. - Malvika Rao; Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Amanda Jane Coles; Marc Carrier (AIME, 2022)

How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation. - Aneta Lisowska; Shiri Lavy; Szymon Wilk; Mor Peleg (AMIA, 2022)

On the joint-effect of class imbalance and overlap: a critical review. - Miriam Seoane Santos; Pedro Henriques Abreu; Nathalie Japkowicz; Alberto Fernández 001; Carlos Soares; Szymon Wilk; João A. M. Santos (Artif. Intell. Rev., 2022)

What do you need to consider when designing mobile health intervention? - Aneta Lisowska; Szymon Wilk; Mor Peleg (CoRR, 2022)

The Case Manager: An Agent Controlling the Activation of Knowledge Sources in a FHIR-Based Distributed Reasoning Environment. - Giordano Lanzola; Francesca Polce; Enea Parimbelli; Matteo Gabetta; Ronald Cornet; Rowdy de Groot; Alexandra Kogan; David Glasspool; Szymon Wilk; Silvana Quaglini (Appl. Clin. Inform., 2023)

Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines. - Martin Michalowski; Malvika Rao; Szymon Wilk; Wojtek Michalowski; Marc Carrier (Artif. Intell. Medicine, 2023)

Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge. - Aneta Lisowska; Szymon Wilk; Mor Peleg (CoRR, 2023)

Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations? - Antonio Zaitoun; Tomer Sagi; Szymon Wilk; Mor Peleg (CoRR, 2023)

Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions. - Enea Parimbelli; Tommaso Mario Buonocore; Giovanna Nicora; Wojtek Michalowski; Szymon Wilk; Riccardo Bellazzi (Artif. Intell. Medicine, 2023)

SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. - Aneta Lisowska; Szymon Wilk; Mor Peleg (J. Biomed. Informatics, 2023)

A community-of-practice-based evaluation methodology for knowledge intensive computational methods and its application to multimorbidity decision support. - William Van Woensel; Samson W. Tu; Wojtek Michalowski; Syed Sibte Raza Abidi; Samina Abidi; José Ramón Alonso 001; Alessio Bottrighi; Marc Carrier; Ruth Edry; Irit Hochberg; Malvika Rao; Stephen P. Kingwell; et al. (J. Biomed. Informatics, 2023)

Personalization in mHealth: Innovative informatics methods to improve patient experience and health outcome. - Elske Ammenwerth; Szymon Wilk; Zhengxing Huang (J. Biomed. Informatics, 2023)

Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. - Martin Michalowski; Szymon Wilk; Jenny M. Bauer; Marc Carrier; Aurelien Delluc; Grégoire Le Gal; Tzu-Fei Wang; Deborah Siegal; Wojtek Michalowski (AIME (2), 2024)

Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. - Aneta Lisowska; Szymon Wilk; Laura Locati; Mimma Rizzo; Lucia Sacchi; Silvana Quaglini; Matteo Terzaghi; Valentina Tibollo; Mor Peleg (CoRR, 2024)

A Hybrid Execution Environment for Computer-Interpretable Guidelines in PROforma. - Alexandra Kogan; Roy Leizer; Szymon Wilk; David Glasspool (CoRR, 2024)

Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem. - Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Malvika Rao; Marc Carrier (J. Biomed. Informatics, 2024)

How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors. - Mor Peleg; Nicole Veggiotti; Lucia Sacchi; Szymon Wilk (J. Biomed. Informatics, 2024)

CUE-X: A Framework for the Automatic Evaluation of Clinical Usefulness of Explanations for the Multimorbidity Problem. - Martin Michalowski; Szymon Wilk; Jenny M. Bauer; Marc Carrier; Herna L. Viktor; Wojtek Michalowski (AIME (1), 2025)

ATC-to-RxNorm mappings - A comparison between OHDSI Standardized Vocabularies and UMLS Metathesaurus. - Rowdy de Groot; Savannah Glaser; Alexandra Kogan; Stephanie Medlock; Anna Alloni; Matteo Gabetta; Szymon Wilk; Nicolette de Keizer; Ronald Cornet (Int. J. Medical Informatics, 2025)