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 in:NPJ digital medicine Vol. 6; no. 1; pp. 86 - 3
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
Language:English
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
ISSN:2398-6352, 2398-6352
Online Access:Get full text
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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.
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ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-023-00832-9