Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.

ABSTRACT: Mental health prediction is one of the most essential parts of reducing the probability of serious mental illness. Meanwhile, mental health prediction can provide a theoretical basis for public health department to work out psychological intervention plans for medical workers. The purpose of this paper is to predict mental health of medical workers based on machine learning by 32 factors. We collected the 32 factors of 5,108 Chinese medical workers through questionnaire survey, and the results of Self-reporting Inventory was applied to characterize mental health. In this study, we propose a novel prediction model based on optimization algorithm and neural network, which can select and rank the most important factors that affect mental health of medical workers. Besides, we use stepwise log

SUBMITTER: Wang X 

PROVIDER: S-EPMC8452905 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature