Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

Abstract Background Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that fully exploit the longitudinal data stored wi...

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Principais autores:	Victoria Moglia, Owen Johnson, Gordon Cook, Marc de Kamps, Lesley Smith
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-01-01
Serija:	BMC Medical Research Methodology
Teme:	Machine learning Health data Longitudinal data Cancer Time-series Temporal
Online dostop:	https://doi.org/10.1186/s12874-025-02473-w
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