The invention relates to the technical field of
medical health management, in particular to a chronic
kidney disease and diabetes collaborative
nutrition monitoring and early warning method and
system.The method comprises the steps that multi-dimensional physiological indexes,
nutrition intake and sleep data of a patient are obtained, and a dynamically-coupled
metabolic state topological space is constructed; based on the space, constructing a dual-
disease metabolism coupling matrix, analyzing stability characteristics of a
metabolism state trajectory, identifying stable and unstable attractors, and calculating a multi-dimensional risk
score; a sleep-
metabolism synchronism risk prediction model is introduced, and a personalized early warning threshold value is dynamically adjusted; when the risk
score exceeds a threshold value, early warning is triggered, and intervention suggestions are generated, the interactive influence of
protein metabolism and glycometabolism is quantitatively described from the metabolic mechanism level, and the contradiction of chronic
kidney disease and diabetic patients in
nutrition management is solved; limitation of a static threshold is broken through, and dynamic
risk assessment is realized; sleep factors are creatively integrated, and a new way for improving the
metabolic state is provided.