Search Results for author: Motomu Shimaoka

Found 1 papers, 1 papers with code

Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network

1 code implementation22 Jun 2021 Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

According to the differences in self-reported health and wellbeing labels between nurses and doctors, and the correlations among their labels, we proposed a job-role based multitask and multilabel deep learning model, where we modeled physiological and behavioral data for nurses and doctors simultaneously to predict participants' next day's multidimensional self-reported health and wellbeing status.

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