The invention relates to the technical field of medical assistance, in particular to a depression
risk assessment method and
system based on intestinal
flora characteristics. The method comprises the following steps: acquiring an individual enteric
microorganism sample, performing
nucleic acid sequencing on the enteric
microorganism sample, and determining abundance data of
functional genes related to a
neural activity metabolic pathway in enteric microorganisms; carrying out
metabolite detection on the intestinal
microorganism sample, and determining concentration data of metabolites related to the
neural activity metabolic pathway in the
intestinal microorganisms; based on the abundance data of the
functional genes and the concentration data of the metabolites, data fusion
processing is carried out, a
neural activity metabolism function spectrum is constructed, and the neural activity
metabolism function spectrum is a multi-dimensional
feature vector; and inputting the neural activity
metabolic function spectrum into a pre-trained
risk assessment model, and outputting a depression risk
score of the individual. The accuracy and
repeatability of evaluation are remarkably improved, and the method has great potential for early screening,
dynamic monitoring and personalized health management.