Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan.

Shotaro DokiShinichiro SasaharaDaisuke HoriYuichi OiTsukasa TakahashiNagisa ShirakiYu IkedaTomohiko IkedaYo AraiKei MuroiIchiyo Matsuzaki

Published in: BMJ open (2021)

A machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

Keyphrases

artificial intelligence
machine learning
sleep quality
big data
bipolar disorder
deep learning
public health
physical activity
depressive symptoms
risk factors
clinical evaluation