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Critical Care Medicine|November 8, 2023
Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness AssessmentMartijn Otten, Ameet R Jagesar, Tariq A Dam, et al.
International Journal of Medical Informatics|September 25, 2023
Augmented intelligence facilitates concept mapping across different electronic health recordsTariq A Dam, Lucas M Fleuren, Luca F Roggeveen, et al.
European Thyroid Journal|October 19, 2023
Optimizing the Dutch newborn screening for congenital hypothyroidism by incorporating amino acids and acylcarnitines in a machine learning-based modelHeleen I Jansen, Marije van Haeringen, Marelle J Bouva, et al.
Journal of Medical Internet Research|March 5, 2020
A Framework for Applying Natural Language Processing in Digital Health InterventionsBurkhardt Funk, Shiri Sadeh-Sharvit, Ellen E Fitzsimmons-Craft, et al.
Open Heart|February 6, 2021
Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) projectLaura H van Dongen, Peter P Harms, Mark Hoogendoorn, et al.
Journal of Medical Internet Research|June 11, 2026
Uptake of Clinical Decision Support Systems Among Health Care Professionals in Six European Countries and the United States: Cross-Sectional Survey Within the I-CARE4OLD ProjectCollin Jc Exmann, Anna-Maria Hiltunen, Ira Haavisto, et al.
BMJ Open|June 29, 2023
Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world dataEmiel O Hoogendijk, Graziano Onder, Louk Smalbil, et al.
Internet Interventions|July 11, 2026
Forecasting stress transitions using ecological momentary assessment data and machine learningRutger van der Linden, Diana Burychka, Asmae Doukani, et al.
Annals of Intensive Care|October 20, 2022
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learningTariq A Dam, Luca F Roggeveen, Fuda van Diggelen, et al.
Critical Care (London, England)|August 24, 2021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patientsLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
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