Perspectives on validation of clinical predictive algorithms

The generalizability of predictive algorithms is of key relevance to application in clinical practice. We provide an overview of three types of generalizability, based on existing literature: temporal, geographical, and domain generalizability. These generalizability types are linked to their associ...

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Bibliographic Details
Published inNPJ digital medicine Vol. 6; no. 1; p. 86
Main Authors de Hond, Anne A. H., Shah, Vaibhavi B., Kant, Ilse M. J., Van Calster, Ben, Steyerberg, Ewout W., Hernandez-Boussard, Tina
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 06.05.2023
Nature Publishing Group
Nature Portfolio
Subjects
631/114/1305
631/114/2415
631/1647/48
692/308/174
Algorithms
Artificial intelligence
Biomedicine
Biotechnology
Comment
Digital technology
Medical technology
Medicine
Medicine & Public Health
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Summary:The generalizability of predictive algorithms is of key relevance to application in clinical practice. We provide an overview of three types of generalizability, based on existing literature: temporal, geographical, and domain generalizability. These generalizability types are linked to their associated goals, methodology, and stakeholders.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-023-00832-9