Data collaboration analysis in predicting diabetes from a small amount of health checkup data

Abstract Recent studies showed that machine learning models such as gradient-boosting decision tree (GBDT) can predict diabetes with high accuracy from big data. In this study, we asked whether highly accurate prediction of diabetes is possible even from small data by expanding the amount of data th...

書誌詳細
出版年:	Scientific Reports
主要な著者:	Go Uchitachimoto, Noriyoshi Sukegawa, Masayuki Kojima, Rina Kagawa, Takashi Oyama, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2023-07-01
オンライン･アクセス:	https://doi.org/10.1038/s41598-023-38932-x

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