Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study.

Yupeng He Masaaki Matsunaga Yuanying Li Taro Kishi Shinichi Tanihara Nakao Iwata Takahiro Tabuchi Atsuhiko Ota

Published in: JMIR formative research (2023)

This study constructed an ANN model to classify schizophrenia cases using web-based survey data. Our model showed a high internal validity. The findings are expected to provide evidence for estimating the prevalence of schizophrenia in the Japanese population and informing future epidemiological studies.

Keyphrases

neural network
bipolar disorder
electronic health record
cross sectional
big data
risk factors
wastewater treatment
current status
data analysis