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Arjen Hommersom

Showing results (1-10 of 20) with videos related to

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Artificial Intelligence in Medicine|February 26, 2013
Probabilistic problem solving in biomedicineArjen Hommersom, Peter J F Lucas
Studies in Health Technology and Informatics|September 23, 2008
Adaptation of clinical practice guidelinesPerry Groot, Arjen Hommersom, Peter Lucas
Studies in Health Technology and Informatics|September 23, 2008
Formal methods for verification of clinical practice guidelinesArjen Hommersom, Perry Groot, Michael Balser, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Probabilistic causal models of multimorbidity conceptsMartijn Lappenschaar, Arjen Hommersom, Peter J F Lucas
Artificial Intelligence in Medicine|December 3, 2022
Investigating the understandability of XAI methods for enhanced user experience: When Bayesian network users became detectivesRaphaela Butz, Renée Schulz, Arjen Hommersom, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2017
Exploiting Experts' Knowledge for Structure Learning of Bayesian NetworksHossein Amirkhani, Mohammad Rahmati, Peter J F Lucas, et al.
Drug Discovery Today|June 26, 2024
Machine learning for antidepressant treatment selection in depressionPrehm I M Arnold, Joost G E Janzing, Arjen Hommersom
Journal of Biomedical Informatics|June 16, 2019
A probabilistic framework for predicting disease dynamics: A case study of psychotic depressionMarcos L P Bueno, Arjen Hommersom, Peter J F Lucas, et al.
Studies in Health Technology and Informatics|September 23, 2008
A constraint-based approach to medical guidelines and protocolsArjen Hommersom, Perry Groot, Peter Lucas, et al.
Artificial Intelligence in Medicine|February 20, 2013
Multilevel Bayesian networks for the analysis of hierarchical health care dataMartijn Lappenschaar, Arjen Hommersom, Peter J F Lucas, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|February 26, 2013
Probabilistic problem solving in biomedicineArjen Hommersom, Peter J F Lucas
Studies in Health Technology and Informatics|September 23, 2008
Adaptation of clinical practice guidelinesPerry Groot, Arjen Hommersom, Peter Lucas
Studies in Health Technology and Informatics|September 23, 2008
Formal methods for verification of clinical practice guidelinesArjen Hommersom, Perry Groot, Michael Balser, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 11, 2013
Probabilistic causal models of multimorbidity conceptsMartijn Lappenschaar, Arjen Hommersom, Peter J F Lucas
Artificial Intelligence in Medicine|December 3, 2022
Investigating the understandability of XAI methods for enhanced user experience: When Bayesian network users became detectivesRaphaela Butz, Renée Schulz, Arjen Hommersom, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2017
Exploiting Experts' Knowledge for Structure Learning of Bayesian NetworksHossein Amirkhani, Mohammad Rahmati, Peter J F Lucas, et al.
Drug Discovery Today|June 26, 2024
Machine learning for antidepressant treatment selection in depressionPrehm I M Arnold, Joost G E Janzing, Arjen Hommersom
Journal of Biomedical Informatics|June 16, 2019
A probabilistic framework for predicting disease dynamics: A case study of psychotic depressionMarcos L P Bueno, Arjen Hommersom, Peter J F Lucas, et al.
Studies in Health Technology and Informatics|September 23, 2008
A constraint-based approach to medical guidelines and protocolsArjen Hommersom, Perry Groot, Peter Lucas, et al.
Artificial Intelligence in Medicine|February 20, 2013
Multilevel Bayesian networks for the analysis of hierarchical health care dataMartijn Lappenschaar, Arjen Hommersom, Peter J F Lucas, et al.
Pageof 2