Prediction of mortality risk of health checkup participants using machine learning-based models: the J-SHC study

Prediction of mortality risk of health checkup participants using machine learning-based models: the J-SHC study

Abstract Early detection and treatment of diseases through health checkups are effective in improving life expectancy. In this study, we compared the predictive ability for 5-year mortality between two machine learning-based models (gradient boosting decision tree [XGBoost] and neural network) and a...

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Bibliographic Details
Main Authors: Kazuharu Kawano, Yoichiro Otaki, Natsuko Suzuki, Shouichi Fujimoto, Kunitoshi Iseki, Toshiki Moriyama, Kunihiro Yamagata, Kazuhiko Tsuruya, Ichiei Narita, Masahide Kondo, Yugo Shibagaki, Masato Kasahara, Koichi Asahi, Tsuyoshi Watanabe, Tsuneo Konta
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-18276-8

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https://doi.org/10.1038/s41598-022-18276-8

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