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M C Schut

Showing results (1-10 of 7) with videos related to

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Computers in Biology and Medicine|June 25, 2023
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICUI Vagliano, M Y Kingma, D A Dongelmans, et al.
BMC Medical Informatics and Decision Making|January 3, 2024
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surgesM C Schut, D A Dongelmans, D W de Lange, et al.
Scientific Reports|April 8, 2022
Identifying prognostic factors for clinical outcomes and costs in four high-volume surgical treatments using routinely collected hospital dataN Salet, V A Stangenberger, F Eijkenaar, et al.
Artificial Intelligence in Medicine|May 22, 2021
Explaining heterogeneity of individual treatment causal effects by subgroup discovery: An observational case study in antibiotics treatment of acute rhino-sinusitisW Qi, A Abu-Hanna, T E M van Esch, et al.
Journal of Biomedical Informatics|September 24, 2023
Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisalI Vagliano, N Dormosh, M Rios, et al.
Archives of Gerontology and Geriatrics|July 19, 2022
Interaction between geriatric syndromes in predicting three months mortality riskF M M Oud, M C Schut, P E Spies, et al.
International Journal of Medical Informatics|February 3, 2022
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the NetherlandsI Vagliano, S Brinkman, A Abu-Hanna, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|June 25, 2023
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICUI Vagliano, M Y Kingma, D A Dongelmans, et al.
BMC Medical Informatics and Decision Making|January 3, 2024
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surgesM C Schut, D A Dongelmans, D W de Lange, et al.
Scientific Reports|April 8, 2022
Identifying prognostic factors for clinical outcomes and costs in four high-volume surgical treatments using routinely collected hospital dataN Salet, V A Stangenberger, F Eijkenaar, et al.
Artificial Intelligence in Medicine|May 22, 2021
Explaining heterogeneity of individual treatment causal effects by subgroup discovery: An observational case study in antibiotics treatment of acute rhino-sinusitisW Qi, A Abu-Hanna, T E M van Esch, et al.
Journal of Biomedical Informatics|September 24, 2023
Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisalI Vagliano, N Dormosh, M Rios, et al.
Archives of Gerontology and Geriatrics|July 19, 2022
Interaction between geriatric syndromes in predicting three months mortality riskF M M Oud, M C Schut, P E Spies, et al.
International Journal of Medical Informatics|February 3, 2022
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the NetherlandsI Vagliano, S Brinkman, A Abu-Hanna, et al.
Pageof 1