Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

BACKGROUND: Stroke has multiple modifiable and nonmodifiable risk factors and represents a leading cause of death globally. Understanding the complex interplay of stroke risk factors is thus not only a scientific necessity but a critical step toward improving global health outcomes. OBJECTIVE: We ai...

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Detalles Bibliográficos
Autores principales: Lolak, Sermkiat, Attia, John, McKay, Gareth J, Thakkinstian, Ammarin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413234/
https://www.ncbi.nlm.nih.gov/pubmed/37494080
http://dx.doi.org/10.2196/47736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413234/
https://www.ncbi.nlm.nih.gov/pubmed/37494080
http://dx.doi.org/10.2196/47736

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