The invention discloses a personalized depression
risk screening and intervention
system and method, and relates to the technical field of
mental health screening. The invention aims to solve the problem of general formulation of depression research and intervention for people of different ages and different occupations. The
system comprises a foreground application interface for man-
machine interaction, a
data acquisition module, a
data analysis and prediction module and an intervention support module, the method comprises the following steps: customizing a personalized questionnaire according to the age, occupations and answering behaviors of a user based on a deep neural network and
reinforcement learning; according to the method, intelligent layered assessment is designed for
crowds of different ages and occupations, a dynamic anti-interference mechanism is adopted to filter
distortion information, personalized
psychological counseling schemes and medical suggestions are generated according to
risk assessment levels, intervention strategies are continuously optimized, a closed-loop
service system is formed, early screening and personalized intervention of depression are achieved, and the
risk assessment level is improved. Intelligent and precise construction of
mental health and
depression prevention ecology is promoted.