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

BACKGROUND: Machine learning algorithms are currently used in a wide array of clinical domains to produce models that can predict clinical risk events. Most models are developed and evaluated with retrospective data, very few are evaluated in a clinical workflow, and even fewer report performances i...

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Detalles Bibliográficos
Autores principales: Sun, Hong, Depraetere, Kristof, Meesseman, Laurent, Cabanillas Silva, Patricia, Szymanowsky, Ralph, Fliegenschmidt, Janis, Hulde, Nikolai, von Dossow, Vera, Vanbiervliet, Martijn, De Baerdemaeker, Jos, Roccaro-Waldmeyer, Diana M, Stieg, Jörg, Domínguez Hidalgo, Manuel, Dahlweid, Fried-Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214618/
https://www.ncbi.nlm.nih.gov/pubmed/35502887
http://dx.doi.org/10.2196/34295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214618/
https://www.ncbi.nlm.nih.gov/pubmed/35502887
http://dx.doi.org/10.2196/34295

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