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

ABSTRACT:

Objectives

Psychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.

Design

Cross-sectional study.

Setting

We conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.

Participants

An AI model of the neural network and

SUBMITTER: Doki S 

PROVIDER: S-EPMC8231007 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature