Out-of-distribution reject option method for dataset shift problem in early disease onset prediction

Abstract Machine learning is increasingly used to predict lifestyle-related disease onset using health and medical data. However, its predictive accuracy for use is often hindered by dataset shift, which refers to discrepancies in data distribution between the training and testing datasets. This iss...

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Main Authors: Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-01811-8
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