Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study

Abstract Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual responses vary, necessitating personalized treatment strategies. Conventional approaches prioritize treating high-risk patients, but advancements in machine learning now enable the estimation...

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Bibliographic Details
Main Authors: Ryo Watanabe, Eiji Nakatani, Hideaki Kaneda, Daito Funaki, Yohei Sobukawa, Yoshihiro Tanaka, Nagato Kuriyama, Masato Takeuchi, Akira Sugawara
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Cardiovascular disease
Causal forest
High-benefit approach
Individualized treatment effect
Machine learning
Statin therapy
Online Access:https://doi.org/10.1038/s41598-025-11236-y
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https://doi.org/10.1038/s41598-025-11236-y

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