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Hiroe Seto

Showing results (1-10 of 5) with videos related to

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Environmental Health and Preventive Medicine|January 21, 2024
Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-upsHiroe Seto, Hiroshi Toki, Shuji Kitora, et al.
Biostatistics (Oxford, England)|October 17, 2025
Variable-based probabilistic calibration with binary outcomeHiroe Seto, Shuji Kitora, Asuka Oyama, et al.
Journal of Medical Internet Research|May 21, 2025
Effects of Mobile Health Care App "Asmile" on Physical Activity of 80,689 Users in Osaka Prefecture, Japan: Longitudinal Observational StudyAsuka Oyama, Kenshiro Taguchi, Hiroe Seto, et al.
Scientific Reports|December 30, 2022
Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big dataHiroe Seto, Asuka Oyama, Shuji Kitora, et al.
Scientific Reports|October 11, 2022
Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big dataHiroe Seto, Asuka Oyama, Shuji Kitora, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Environmental Health and Preventive Medicine|January 21, 2024
Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-upsHiroe Seto, Hiroshi Toki, Shuji Kitora, et al.
Biostatistics (Oxford, England)|October 17, 2025
Variable-based probabilistic calibration with binary outcomeHiroe Seto, Shuji Kitora, Asuka Oyama, et al.
Journal of Medical Internet Research|May 21, 2025
Effects of Mobile Health Care App "Asmile" on Physical Activity of 80,689 Users in Osaka Prefecture, Japan: Longitudinal Observational StudyAsuka Oyama, Kenshiro Taguchi, Hiroe Seto, et al.
Scientific Reports|December 30, 2022
Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big dataHiroe Seto, Asuka Oyama, Shuji Kitora, et al.
Scientific Reports|October 11, 2022
Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big dataHiroe Seto, Asuka Oyama, Shuji Kitora, et al.
Pageof 1