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