Highlights • The prevalence of mental disorders has been on the rise during and post-pandemic. • High volume of the published work necessitates a review and bibliometric analysis. • The bibliometric analysis used 2,811 research articles and a review of 40 relevant studies. • Analysis of research outcome, productivity, collaborations, trend topics, emerging themes, etc. • Exploration of different data modalities, algorithms, performance analysis has been done with respect to individual disease category.
All Keywords
【저자키워드】 machine learning, classification, Mental Disorders, Disease diagnosis, bibliometric analysis,
【저자키워드】 machine learning, classification, Mental Disorders, Disease diagnosis, bibliometric analysis,