Recognizing schizophrenia using facial expressions based on convolutional neural network.

ABSTRACT:

Objective

Facial expressions have been served as clinical symptoms to convey mental conditions in psychiatry. This paper proposes to recognize patients with schizophrenia (SCZ) using their facial images based on deep learning algorithm, and to investigate objective differences in facial expressions between SCZ patients and healthy controls using deep learning algorithm and statistical analyses.

Methods

The study consists of two parts. The first part recruited 106 SCZ patients and 101 healthy controls, and videotaped their facial expressions through a fixed experimental paradigm. The video data were randomly divided into two sets, one for training a convolutional neural network (CNN) with the classification of "healthy control" or "SCZ patient" as output and the other for eva

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10175991 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature