Hoogendoorn, Mark
Vrije Universiteit Amsterdam
7 papers on CoChatORCID 0000-0003-3356-3574
Most cited papers
- Verified
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
Fleuren, L. M., Klausch, T. L. T., Zwager, C. L., Schoonmade, L. J., Guo, T., Roggeveen, L. F., Swart, E. L., Girbes, A. R. J., Thoral, P., Ercole, A., et al. (2020) · Intensive Care Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 755
- Verified
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis
Roggeveen, L., el Hassouni, A., Ahrendt, J., Guo, T., Fleuren, L., Thoral, P., Girbes, A. R., Hoogendoorn, M., & Elbers, P. W. (2021) · Artificial Intelligence in Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 41
- Verified
CKConv: Continuous Kernel Convolution For Sequential Data
Romero, D. W., Kuzina, A., Bekkers, E. J., Tomczak, J. M., & Hoogendoorn, M. (2021) · arXiv
Neural Networks and ApplicationsAdvanced Neural Network Applications
Cited by 39
- Verified
Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists
Thoral, P. J., Fornasa, M., de Bruin, D. P., Tonutti, M., Hovenkamp, H., Driessen, R. H., Girbes, A. R. J., Hoogendoorn, M., & Elbers, P. W. G. (2021) · Critical Care Explorations
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 34
- Verified
Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data
Mikus, A., Hoogendoorn, M., Rocha, A., Gama, J., Ruwaard, J., & Riper, H. (2018) · Internet Interventions
Digital Mental Health InterventionsMental Health Research Topics
Cited by 31
- Verified
What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals
Fischer, A., Rietveld, A., Teunissen, P., Hoogendoorn, M., & Bakker, P. (2023) · BMJ Open
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 26
- Verified
TOWARDS FULLY AUTOMATED PSYCHOTHERAPY FOR ADULTS - BAS - Behavioral Activation Scheduling Via Web and Mobile Phone
Griffioen-Both, F., Cuijpers, P. J., Hoogendoorn, M., & Klein, M. C. A. (2010) · Proceedings of the Third International Conference on Health Informatics
Digital Mental Health InterventionsMobile Health and mHealth Applications
Cited by 10
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