Arjen Hommersom
Arjen Hommersom
Assistant professor at Open University of the Netherlands üzerinde doğrulanmış e-posta adresine sahip
Alıntı yapanlar
Alıntı yapanlar
Verification of medical guidelines using background knowledge in task networks
A Hommersom, P Groot, PJF Lucas, M Balser, J Schmitt
IEEE Transactions on Knowledge and Data Engineering 19 (6), 832-846, 2007
Multilevel Bayesian networks for the analysis of hierarchical health care data
M Lappenschaar, A Hommersom, PJF Lucas, J Lagro, S Visscher
Artificial intelligence in medicine 57 (3), 171-183, 2013
Multilevel temporal Bayesian networks can model longitudinal change in multimorbidity
M Lappenschaar, A Hommersom, PJF Lucas, J Lagro, S Visscher, ...
Journal of clinical epidemiology 66 (12), 1405-1416, 2013
Exploiting experts’ knowledge for structure learning of Bayesian networks
H Amirkhani, M Rahmati, PJF Lucas, A Hommersom
IEEE transactions on pattern analysis and machine intelligence 39 (11), 2154 …, 2016
Checking the quality of clinical guidelines using automated reasoning tools
A Hommersom, PJF Lucas, P Van Bommel
arXiv preprint arXiv:0806.0250, 2008
Using model checking for critiquing based on clinical guidelines
P Groot, A Hommersom, PJF Lucas, RJ Merk, A ten Teije, F van Harmelen, ...
Artificial Intelligence in Medicine 46 (1), 19-36, 2009
MoSHCA-my mobile and smart health care assistant
A Hommersom, PJF Lucas, M Velikova, G Dal, J Bastos, J Rodriguez, ...
2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013
Update semantics of security protocols
A Hommersom, JJ Meyer, E De Vink
Information, interaction and agency, 289-327, 2005
Adaptation of clinical practice guidelines.
P Groot, A Hommersom, PJF Lucas, A Ten Teije
Computer-based Medical Guidelines and Protocols, 121-139, 2008
A new probabilistic constraint logic programming language based on a generalised distribution semantics
S Michels, A Hommersom, PJF Lucas, M Velikova
Artificial Intelligence 228, 1-44, 2015
Understanding disease processes by partitioned dynamic Bayesian networks
MLP Bueno, A Hommersom, PJF Lucas, M Lappenschaar, JGE Janzing
Journal of biomedical informatics 61, 283-297, 2016
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive.
A Hommersom, PJF Lucas
ECAI, 401-406, 2010
Meta-level verification of the quality of medical guidelines using interactive theorem proving
A Hommersom, P Lucas, M Balser
European Workshop on Logics in Artificial Intelligence, 654-666, 2004
Discovering software vulnerabilities using data-flow analysis and machine learning
J Kronjee, A Hommersom, H Vranken
Proceedings of the 13th International Conference on Availability …, 2018
Probabilistic causal models of multimorbidity concepts
M Lappenschaar, A Hommersom, PJF Lucas
AMIA Annual Symposium Proceedings 2012, 475, 2012
Generalising the interaction rules in probabilistic logic
A Hommersom, PJF Lucas
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
The role of model checking in critiquing based on clinical guidelines
P Groot, A Hommersom, P Lucas, R Serban, A Ten Teije, F Van Harmelen
Conference on Artificial Intelligence in Medicine in Europe, 411-420, 2007
A decision support model for uncertainty reasoning in safety and security tasks
S Michels, M Velikova, A Hommersom, PJF Lucas
2013 IEEE International Conference on Systems, Man, and Cybernetics, 663-668, 2013
A constraint-based approach to medical guidelines and protocols
AJ Hommersom, PC Groot, PJF Lucas, M Marcos, B Mart'inez-Salvador
Landsdale [etc.]: IOS Press, 2008
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity
M Liu, F Stella, A Hommersom, PJF Lucas, L Boer, E Bischoff
Artificial intelligence in medicine 95, 104-117, 2019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20