The invention provides a risk
dynamic assessment method for a cross-climate zone
diabetic foot, which comprises the following steps: when a user moves to a target climate zone, collecting
environmental data of the target climate zone, functional indexes of a user foot TRPM8 channel and
user individual data; calculating a basic
stress index according to the environment data, and correcting the basic
stress index through the function index and the
user individual data to obtain a final
stress index; drawing an index change curve of the user based on the final stress index,
processing the index change curve, the function index and the
user individual data through a double-
branch neural network, and outputting double-
branch features; fusing the double-
branch features through an attention mechanism, and outputting the functional damage level of the TRPM8 channel; performing risk
dynamic assessment according to the functional damage level, and outputting intervention measure suggestions; by establishing the dynamic association of the environmental-TRPM8-
diabetic foot risk, accurate
risk assessment and personalized intervention in a cross-climate-zone scene can be realized.