| 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 | 126 | 2013 |
| Learning Bayesian networks for clinical time series analysis M Van der Heijden, M Velikova, PJF Lucas Journal of biomedical informatics 48, 94-105, 2014 | 75 | 2014 |
| 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 | 50 | 2019 |
| 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 | 28 | 2013 |
| 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 | 22 | 2011 |
| Hybrid time Bayesian networks M Liu, A Hommersom, M van der Heijden, PJF Lucas International Journal of Approximate Reasoning 80, 460-474, 2017 | 20 | 2017 |
| 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 | 19 | 2018 |
| 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 | 18 | 2013 |
| Intelligent disease self-management with mobile technology M Velikova, PJF Lucas, M van der Heijden Computer 48 (2), 32-39, 2015 | 14 | 2015 |
| 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 | 8 | 2015 |
| 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 | 7 | 2009 |
| 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 | 6 | 2011 |
| 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 | 6 | 2009 |
| 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 | 3 | 2019 |
| Probabilistic reasoning with temporal indeterminacy M Van Der Heijden, PJF Lucas 6th European Workshop on Probabilistic Graphical Models, PGM 2012, 131-138, 2012 | 3 | 2012 |
| 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 | 3 | 2009 |
| 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 | 2 | 2016 |
| 14 Supporting active patient self-care M van der Heijden, M Velikova, PJF Lucas Information Technology for Patient Empowerment in Healthcare, 227, 2015 | 2 | 2015 |
| Causal Independence Models for Continuous Time Bayesian Networks M Heijden, AJ Hommersom Berlin: Springer International Publishing, 2014 | 2* | 2014 |
