Cardiovascular Risk Prediction Using Machine Learning in a Large Japanese Cohort

Background: Cardiovascular disease (CVD) screening entails precise event prediction to orient risk stratification, resource allocation, and insurance policy. We used random survival forests (RSF) to identify markers of incident CVD among Japanese adults enrolled in an employer-mandated screening pro...

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Detalles Bibliográficos
Autores principales: Matheson, Matthew B., Kato, Yoko, Baba, Shinichi, Cox, Christopher, Lima, João A.C., Ambale-Venkatesh, Bharath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Circulation Society 2022
Materias:
Original article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726526/
https://www.ncbi.nlm.nih.gov/pubmed/36530840
http://dx.doi.org/10.1253/circrep.CR-22-0101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726526/
https://www.ncbi.nlm.nih.gov/pubmed/36530840
http://dx.doi.org/10.1253/circrep.CR-22-0101

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