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Maarten van der Heijden
Maarten van der Heijden
Bestätigte E-Mail-Adresse bei cs.ru.nl
Titel
Zitiert von
Zitiert von
Jahr
An autonomous mobile system for the management of COPD
M van der Heijden, PJF Lucas, B Lijnse, YF Heijdra, TRJ Schermer
Journal of biomedical informatics 46 (3), 458-469, 2013
1212013
Learning Bayesian networks for clinical time series analysis
M Van der Heijden, M Velikova, PJF Lucas
Journal of biomedical informatics 48, 94-105, 2014
742014
A smart mobile health tool versus a paper action plan to support self-management of chronic obstructive pulmonary disease exacerbations: randomized controlled trial
L Boer, E Bischoff, M van der Heijden, P Lucas, R Akkermans, ...
JMIR mHealth and uHealth 7 (10), e14408, 2019
462019
Reliability and validity of query intent assessments
S Verberne, M van der Heijden, M Hinne, M Sappelli, S Koldijk, ...
Journal of the American Society for Information Science and Technology 64 …, 2013
282013
Managing COPD exacerbations with telemedicine
M Van Der Heijden, B Lijnse, PJF Lucas, YF Heijdra, TRJ Schermer
Artificial Intelligence in Medicine: 13th Conference on Artificial …, 2011
222011
Validation of ACCESS: an automated tool to support self-management of COPD exacerbations
LM Boer, M van der Heijden, NME van Kuijk, PJF Lucas, JH Vercoulen, ...
International journal of chronic obstructive pulmonary disease, 3255-3267, 2018
202018
Hybrid time Bayesian networks
M Liu, A Hommersom, M van der Heijden, PJF Lucas
International Journal of Approximate Reasoning 80, 460-474, 2017
192017
Describing disease processes using a probabilistic logic of qualitative time
M Van Der Heijden, PJF Lucas
Artificial intelligence in medicine 59 (3), 143-155, 2013
182013
Intelligent disease self-management with mobile technology
M Velikova, PJF Lucas, M van der Heijden
Computer 48 (2), 32-39, 2015
142015
Mining hierarchical pathology data using inductive logic programming
T Op De Beéck, A Hommersom, J Van Haaren, M van der Heijden, ...
Artificial Intelligence in Medicine: 15th Conference on Artificial …, 2015
82015
A multi-dimensional model for search intent
M Hinne, M van der Heijden, S Verberne, W Kraaij
Proceedings of the Dutch-Belgium Information Retrieval workshop (DIR 2011 …, 2011
72011
How does the Library Searcher behave?
S Verberne, M Hinne, M van der Heijden, E Hoenkamp, W Kraaij, ...
LogCLEF 2010 Working Notes, http://clef2010. org/, 2010
7*2010
Annotation of urls: more than the sum of parts
M Hinne, W Kraaij, S Raaijmakers, S Verberne, T van der Weide, ...
Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009
72009
Using query logs and click data to create improved document descriptions
M van der Heijden, M Hinne, W Kraaij, S Verberne, T van der Weide
Proceedings of the 2009 workshop on Web Search Click Data, 64-67, 2009
52009
A smart mHealth tool versus a paper action plan to support self-management of COPD exacerbations: a randomised controlled trial
E Bischoff, L Boer, M Van Der Heijden, P Lucas, R Akkermans, ...
European respiratory journal 54 (suppl 63), 2019
32019
Probabilistic reasoning with temporal indeterminacy
M van der Heijden, PJ Lucas
PGM’12: Proceedings of the 6th European Workshop on Probabilistic Graphical …, 2012
32012
Extracting qualitative knowledge from medical guidelines for clinical decision-support systems
M van der Heijden, PJF Lucas
International Workshop on Knowledge Representation for Health Care, 100-112, 2009
32009
Learning parameters of hybrid time Bayesian networks
M Liu, A Hommersom, M van der Heijden, PJF Lucas
Conference on Probabilistic Graphical Models, 287-298, 2016
22016
14 Supporting active patient self-care
M van der Heijden, M Velikova, PJF Lucas
Information Technology for Patient Empowerment in Healthcare, 227, 2015
22015
Probabilistic models for smart monitoring
M van der Heijden, PJF Lucas
2012 25th IEEE International Symposium on Computer-Based Medical Systems …, 2012
22012
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