The present application provides a mild
cognitive impairment remote evaluation system based on meta-learning and mixed experts, belonging to the technical field of
artificial intelligence, intelligent
medical treatment and remote
health evaluation, comprising: a multi-
modal behavior feature encoding module, outputting a multi-
modal disease-specific behavior knowledge vector; a meta-learning
pathology representation calculation module, used for converting the multi-
modal disease-specific behavior knowledge vector into
pathological meta-features corresponding to
pathological mechanisms, and combining to form a static
pathological meta-
feature matrix; a pathological mechanism
synergy relationship modeling module, used for taking each pathological meta-feature as a node, learning the
synergy relationship between different pathological mechanisms, and outputting a static pathological
synergy relationship matrix; a static memory layer, jointly constructed by the static pathological meta-
feature matrix and the static pathological synergy relationship matrix; a dynamic joint decision module, weighting and fusing the output results of activated experts to obtain a comprehensive decision result; and a risk output module, used for generating a mild
cognitive impairment risk probability according to the comprehensive decision result.