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...

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Bibliographic Details
Main Authors: Go Uchitachimoto, Noriyoshi Sukegawa, Masayuki Kojima, Rina Kagawa, Takashi Oyama, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-38932-x

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