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 associated goals, methodology, and stakeholders.

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The generalizability of predictive algorithms is crucial for their application in clinical practice. This article provides an overview of three types of generalizability, namely temporal, geographical, and domain generalizability, based on existing literature. These types of generalizability are associated with their respective goals, methodology, and stakeholders.