Based on the biological data of one of the world's largest cohort of psychiatric patients with early phase and risk, nicotinic acid reaction pictures were introduced as biological information for the first time in nutritional intervention of psychiatric risk prevention and control.~Exploration of machine learning and big data analysis methods, based on the objective quantitative evaluation tool, combined with fingertip blood fat spectrum detection, to construct the optimization scheme and targeted non drug intervention measures of nutritional supplement for common mental diseases.~From the perspective of antioxidant stress and nutritional supplement, a new clinical pathway for the prevention and treatment of mental diseases with artificial intelligence products as screening, early warning and guidance prevention will be established.
The project will focus on the major technical difficulty of lack of effective nutritional intervention measures for early risk of common mental diseases in China, and rely on the platform of psychiatric risk identification and treatment specialty of Shanghai Mental Health Center, an authoritative institution in the field of mental health, and focus on the effective application of the domestic independent research and development of the artificial intelligence nicotinic acid skin flushing reaction quantification instrument.