This paper is in the following e-collection/theme issue:

Artificial Intelligence (1666) Machine Learning (1688) Clinical Information and Decision Making (1604) Clinical Informatics (1135)

Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34295, first published .
Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance

Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance

Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance

Authors of this article:

Hong Sun1 Author Orcid Image ;   Kristof Depraetere1 Author Orcid Image ;   Laurent Meesseman1 Author Orcid Image ;   Patricia Cabanillas Silva1 Author Orcid Image ;   Ralph Szymanowsky1 Author Orcid Image ;   Janis Fliegenschmidt2 Author Orcid Image ;   Nikolai Hulde2 Author Orcid Image ;   Vera von Dossow2 Author Orcid Image ;   Martijn Vanbiervliet1 Author Orcid Image ;   Jos De Baerdemaeker1 Author Orcid Image ;   Diana M Roccaro-Waldmeyer1 Author Orcid Image ;   Jörg Stieg1 Author Orcid Image ;   Manuel Domínguez Hidalgo1 Author Orcid Image ;   Fried-Michael Dahlweid1 Author Orcid Image
Article Authors Cited by (20) Tweetations (9) Metrics

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  12. Liou L, Scott E, Parchure P, Ouyang Y, Egorova N, Freeman R, Hofer I, Nadkarni G, Timsina P, Kia A, Levin M. Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. npj Digital Medicine 2024;7(1) View
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