A case for the use of deep learning algorithms for individual and population level assessments of mental health disorders: Predicting depression among China's elderly
Article in Journal of Affective Disorders (September 2024)
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A novel approach to anxiety level prediction using small sets of judgment and survey variables
Article in npj Mental Health Research (June 2024)
Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model
Article in BMC Psychology (April 2024)