Peter J. F. Lucas

Steffen Oeltze-Jafra

Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

2020

Temporal Exceptional Model Mining Using Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Marcos L. P. Bueno

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

2019

A probabilistic framework for predicting disease dynamics: A case study of psychotic depression.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2019

A Data-Driven Exploration of Hypotheses on Disease Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Modeling the Dynamics of Multiple Disease Occurrence by Latent States.

[BibT_eX]

[DOI]

Pedro Pereira Rodrigues

Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Making Continuous Time Bayesian Networks More Flexible.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Parallel Probabilistic Inference by Weighted Model Counting.

[BibT_eX]

[DOI]

Giso H. Dal

Alfons W. Laarman

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Representing Hypoexponential Distributions in Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Hybrid time Bayesian networks.

[BibT_eX]

[DOI]

Manxia Liu

Int. J. Approx. Reason., 2017

Weighted positive binary decision diagrams for exact probabilistic inference.

[BibT_eX]

[DOI]

Giso H. Dal

Marcos Luiz de Paula Bueno

Int. J. Approx. Reason., 2017

Asymmetric hidden Markov models.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

An improved diagnostic method for probabilistic consistency-based diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 28th International Workshop on Principles of Diagnosis (DX'17), 2017

Reducing the Cost of Probabilistic Knowledge Compilation.

[BibT_eX]

[DOI]

Giso H. Dal

Steffen Michels

Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2016

Understanding disease processes by partitioned dynamic Bayesian networks.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

Learning Parameters of Hybrid Time Bayesian Networks.

[BibT_eX]

[DOI]

Manxia Liu

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming.

[BibT_eX]

[DOI]

Steffen Michels

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2015

Intelligent Disease Self-Management with Mobile Technology.

[BibT_eX]

[DOI]

Computer, 2015

A new probabilistic constraint logic programming language based on a generalised distribution semantics.

[BibT_eX]

[DOI]

Artif. Intell., 2015

Mining Hierarchical Pathology Data Using Inductive Logic Programming.

[BibT_eX]

[DOI]

Tim Op De Beéck

Jan Van Haaren

Proceedings of the Artificial Intelligence in Medicine, 2015

Representing Knowledge for Clinical Diagnostic Reasoning.

[BibT_eX]

[DOI]

Felipe Orihuela-Espina

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

How to Read the Book "Foundations of Biomedical Knowledge Representation".

[BibT_eX]

[DOI]

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

An Introduction to Knowledge Representation and Reasoning in Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014

Learning Bayesian networks for clinical time series analysis.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2014

Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare.

[BibT_eX]

[DOI]

Josien Terwisscha van Scheltinga

Marc Spaanderman

Int. J. Approx. Reason., 2014

Qualitative chain graphs and their application.

[BibT_eX]

[DOI]

Martijn Lappenschaar

Int. J. Approx. Reason., 2014

Imprecise Probabilistic Horn Clause Logic.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

An autonomous mobile system for the management of COPD.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2013

On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2013

Multilevel Bayesian networks for the analysis of hierarchical health care data.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2013

Probabilistic problem solving in biomedicine.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2013

Describing disease processes using a probabilistic logic of qualitative time.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2013

A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Inference for a New Probabilistic Constraint Logic.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

MoSHCA - my mobile and smart health care assistant.

[BibT_eX]

[DOI]

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Understanding the Co-occurrence of Diseases Using Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2013

Discovering Probabilistic Structures of Healthcare Processes.

[BibT_eX]

[DOI]

Sicco Verwer

Proceedings of the Process Support and Knowledge Representation in Health Care, 2013

2012

A probabilistic framework for image information fusion with an application to mammographic analysis.

[BibT_eX]

[DOI]

Medical Image Anal., 2012

Fully-automated interpretation of biochemical tests for decision support by smartphones.

[BibT_eX]

[DOI]

Josien Terwisscha van Scheltinga

Ruben L. Smeets

Proceedings of CBMS 2012, 2012

Probabilistic models for smart monitoring.

[BibT_eX]

[DOI]

Proceedings of CBMS 2012, 2012

Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains.

[BibT_eX]

[DOI]

Steffen Michels

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Probabilistic Causal Models of Multimorbidity Concepts.

[BibT_eX]

[DOI]

Martijn Lappenschaar

Proceedings of the AMIA 2012, 2012

2011

Applying Bayesian Networks for Intelligent Adaptable Printing Systems.

[BibT_eX]

[DOI]

Proceedings of the Solutions on Embedded Systems, 2011

Generalising the Interaction Rules in Probabilistic Logic.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Marginalization without Summation Exploiting Determinism in Factor Algebra.

[BibT_eX]

[DOI]

Sander Evers

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

A Predictive Bayesian Network Model for Home Management of Preeclampsia.

[BibT_eX]

[DOI]

Marc Spaanderman

Proceedings of the Artificial Intelligence in Medicine, 2011

Managing COPD Exacerbations with Telemedicine.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2011

2010

Towards Games for Knowledge Acquisition and Modeling.

[BibT_eX]

[DOI]

Stijn Hoppenbrouwers

Bart Schotten

Int. J. Gaming Comput. Mediat. Simulations, 2010

Discretisation Does Affect the Performance of Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Using Local Context Information to Improve Automatic Mammographic Mass Detection.

[BibT_eX]

[DOI]

Nico Karssemeijer

Proceedings of the MEDINFO 2010, 2010

e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders.

[BibT_eX]

[DOI]

Marc Spaanderman

Proceedings of the Electronic Healthcare - Third International Conference, 2010

Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Representation for Health-Care, 2010

Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2010, 2010

2009

A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients.

[BibT_eX]

[DOI]

Theodore Charitos

Linda C. van der Gaag

Stefan Visscher

Karin Schurink

Expert Syst. Appl., 2009

Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions.

[BibT_eX]

[DOI]

Stefan Visscher

Carolina A. M. Schurink

Marc J. M. Bonten

Artif. Intell. Medicine, 2009

Using model checking for critiquing based on clinical guidelines.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2009

Applying Bayesian networks for intelligent adaptable printing systems.

[BibT_eX]

[DOI]

Proceedings of the Seventh Workshop on Intelligent solutions in Embedded Systems, 2009

Integrating Logical Reasoning and Probabilistic Chain Graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

The Probabilistic Interpretation of Model-Based Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Probabilistic relational modelling of mammographic images.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

Causal Probabilistic Modelling for Two-View Mammographic Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2009

Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Representation for Health-Care: Data, 2009

Modelling Screening Mammography Images: A Probabilistic Relational Approach.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2009

2008

Checking the quality of clinical guidelines using automated reasoning tools.

[BibT_eX]

[DOI]

Patrick van Bommel

Theory Pract. Log. Program., 2008

Dynamic Bayesian networks as prognostic models for clinical patient management.

[BibT_eX]

[DOI]

Babs G. Taal

J. Biomed. Informatics, 2008

A generic qualitative characterization of independence of causal influence.

[BibT_eX]

[DOI]

Juan A. Fernández del Pozo

Int. J. Approx. Reason., 2008

Explaining clinical decisions by extracting regularity patterns.

[BibT_eX]

[DOI]

Concha Bielza

Decis. Support Syst., 2008

A decision support system for breast cancer detection in screening programs.

[BibT_eX]

[DOI]

Maurice Samulski

Nico Karssemeijer

Proceedings of the ECAI 2008, 2008

Combining Abduction with Conflict-based Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2008, 2008

Toward Expert Knowledge Representation for Automatic Breast Cancer Detection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Methodology, 2008

A Constraint-based Approach to Medical Guidelines and Protocols.

[BibT_eX]

[DOI]

Begoña Martínez-Salvador

Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

Formal Methods for Verification of Clinical Practice Guidelines.

[BibT_eX]

[DOI]

Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

Adaptation of Clinical Practice Guidelines.

[BibT_eX]

[DOI]

Perry Groot

Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

2007

Verification of Medical Guidelines Using Background Knowledge in Task Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

Combining task execution and background knowledge for the verification of medical guidelines.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2007

Predicting carcinoid heart disease with the noisy-threshold classifier.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2007

Selecting treatment strategies with dynamic limited-memory influence diagrams.

[BibT_eX]

[DOI]

Francisco Javier Díez

Babs G. Taal

Artif. Intell. Medicine, 2007

Classification of mammographic masses using support vector machines and Bayesian networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Independence Decomposition in Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Actions with Failures in Interval Temporal Logic.

[BibT_eX]

[DOI]

Proceedings of the Computational Logic in Multi-Agent Systems, 8th International Workshop, 2007

Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2007

Bayesian Network Decomposition for Modeling Breast Cancer Detection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2007

The Role of Model Checking in Critiquing Based on Clinical Guidelines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Qualitative futures.

[BibT_eX]

[DOI]

Chris J. Price

Louise Travé-Massuyès

George Macleod Coghill

Knowl. Eng. Rev., 2006

Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004.

[BibT_eX]

[DOI]

José A. Gámez

Antonio Salmerón

Int. J. Approx. Reason., 2006

Improving medical protocols by formal methods.

[BibT_eX]

[DOI]

Annette ten Teije

Mar Marcos

Michael Balser

Joyce van Croonenborg

Artif. Intell. Medicine, 2006

Graphical Reasoning with Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

Verification of Medical Guidelines Using Task Execution with Background Knowledge.

[BibT_eX]

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Exploiting causal independence in large Bayesian networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2005

Bayesian network modelling through qualitative patterns.

[BibT_eX]

[DOI]

Artif. Intell., 2005

Exploring the Noisy Threshold Function in Designing Bayesian Networks.

[BibT_eX]

[DOI]

Tom Heskes

Proceedings of the Research and Development in Intelligent Systems XXII, 2005

Improving the Therapeutic Performance of a Medical Bayesian Network Using Noisy Threshold Models.

[BibT_eX]

[DOI]

Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Use of the Noisy Threshold Function in Building Bayesian Networks.

[BibT_eX]

Tom Heskes

Proceedings of the BNAIC 2005, 2005

Argumentation Systems for History-Based Construction of Medical Guidelines.

[BibT_eX]

Patrick van Bommel

Proceedings of the BNAIC 2005, 2005

Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2005

A History-Based Algebra for Quality-Checking Medical Guidelines.

[BibT_eX]

[DOI]

Patrick van Bommel

Proceedings of the Artificial Intelligence in Medicine, 2005

2004

Bayesian networks in biomedicine and health-care.

[BibT_eX]

[DOI]

Linda C. van der Gaag

Ameen Abu-Hanna

Artif. Intell. Medicine, 2004

Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving.

[BibT_eX]

[DOI]

Michael Balser

Proceedings of the Logics in Artificial Intelligence, 9th European Conference, 2004

Employing Maximum Mutual Information for Bayesian Classification.

[BibT_eX]

[DOI]

Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

A System for Pacemaker Treatment Advice.

[BibT_eX]

Ruud Kuipers

Frederick Feith

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Parameter Estimation in Large Causal Models.

[BibT_eX]

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Protocure: Supporting the Development of Medical Protocols through Formal Methods.

[BibT_eX]

[DOI]

Michael Balser

Óscar Coltell

Joyce van Croonenborg

Proceedings of the Computer-based Support for Clinical Guidelines and Protocols, 2004

2003

Quality Checking of Medical Guidelines through Logical Abduction.

[BibT_eX]

[DOI]

Juan A. Fernández del Pozo

Proceedings of the Research and Development in Intelligent Systems XX, 2003

Optimal Decision Explanation by Extracting Regularity Patterns.

[BibT_eX]

[DOI]

Concha Bielza

Proceedings of the Research and Development in Intelligent Systems XX, 2003

Decision Network Semantics of Branching Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Kenneth N. Brown

Juan A. Fernández del Pozo

David W. Fowler

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Finding and Explaining Optimal Treatments.

[BibT_eX]

[DOI]

Concha Bielza

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

Restricted Bayesian Network Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Bayesian Network Modelling by Qualitative Patterns.

[BibT_eX]

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Certainty-factor-like structures in Bayesian belief networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2001

Bayesian model-based diagnosis.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2001

Learning Bayesian-Network Topologies in Realistic Medical Domains.

[BibT_eX]

[DOI]

Proceedings of the Medical Data Analysis, Second International Symposium, 2001

Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems.

[BibT_eX]

[DOI]

Agnieszka Onisko

Marek J. Druzdzel

Proceedings of the Artificial Intelligence Medicine, 2001

Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Medicine, 2001

Using Temporal Probabilistic Knowledge for Medical Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Medicine, 2001

2000

A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2000

1999

An intelligent system for pacemaker reprogramming.

[BibT_eX]

[DOI]

Astrid Tholen

Geeske van Oort

Artif. Intell. Medicine, 1999

A Probabilistic Approach to Improved Antibiotic Therapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

A Model-Based System for Pacemaker Reprogramming.

[BibT_eX]

[DOI]

Astrid Tholen

Geeske van Oort

Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

Certainty-Factor-Like Structures in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999

1998

A decision-theoretic network approach to treatment management and prognosis.

[BibT_eX]

[DOI]