Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51409, first published .
Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Patricia Cabanillas Silva   1 * , MSc ;   Hong Sun   2, 3 * , PhD ;   Mohamed Rezk   1 * , PhD ;   Diana M Roccaro-Waldmeyer   1 , PhD ;   Janis Fliegenschmidt   4 , BSc, MD ;   Nikolai Hulde   4 , MD, PhD ;   Vera von Dossow   4 , MD, PhD, Prof Dr ;   Laurent Meesseman   1 , MD ;   Kristof Depraetere   1 , MSc ;   Joerg Stieg   1 , MSc ;   Ralph Szymanowsky   1 , MSc ;   Fried-Michael Dahlweid   1 , MD, PhD

1 Dedalus HealthCare, Antwerp, Belgium

2 Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing University, Jiaxing, China

3 Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province, Jiaxing University, Jiaxing, China

4 Institute of Anaesthesiology and Pain Therapy, Heart and Diabetes Centre North Rhine Westphalia, University Hospital of Ruhr-University Bochum, Bad Oeynhausen, Germany

*these authors contributed equally

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