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

Artificial Intelligence (911) Machine Learning (1187) Clinical Information and Decision Making (1109) Clinical Informatics (701)

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 Sun 1 Author Orcid Image ;   Kristof Depraetere 1 Author Orcid Image ;   Laurent Meesseman 1 Author Orcid Image ;   Patricia Cabanillas Silva 1 Author Orcid Image ;   Ralph Szymanowsky 1 Author Orcid Image ;   Janis Fliegenschmidt 2 Author Orcid Image ;   Nikolai Hulde 2 Author Orcid Image ;   Vera von Dossow 2 Author Orcid Image ;   Martijn Vanbiervliet 1 Author Orcid Image ;   Jos De Baerdemaeker 1 Author Orcid Image ;   Diana M Roccaro-Waldmeyer 1 Author Orcid Image ;   Jörg Stieg 1 Author Orcid Image ;   Manuel Domínguez Hidalgo 1 Author Orcid Image ;   Fried-Michael Dahlweid 1 Author Orcid Image
Article Authors Cited by (6) Tweetations (11) Metrics

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  2. Matsumoto K, Nohara Y, Sakaguchi M, Takayama Y, Fukushige S, Soejima H, Nakashima N. Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow. Applied Sciences 2023;13(3):1564 View
  3. Wehkamp K, Krawczak M, Schreiber S. The quality and utility of artificial intelligence in patient care. Deutsches Ärzteblatt international 2023 View
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  6. Jankowska A, Ngai J. I, Robot: Healthcare Decisions Made With Artificial Intelligence. Journal of Cardiothoracic and Vascular Anesthesia 2023;37(10):1852 View