The invention relates to the technical field of
medical systems, in particular to an intelligent gastrointestinal postoperative intestinal obstruction diagnosis and intervention decision-making
system and method, and the
system comprises a data preprocessing module, a multi-
modal data fusion module, a
gastrointestinal function recovery model construction module, a self-adaptive progressive
reinforcement learning optimization module AHRL and a diagnosis and intervention recommendation module. The self-adaptive progressive
reinforcement learning optimization module optimizes an intervention strategy layer by layer through a five-layer progressive
algorithm from the steps of dynamic adjustment of feature weights, recursive state propagation, layered accumulation optimization, symptom
similarity matrix generation, progressive weight reverse feedback and the like, deep fusion of key symptoms by multi-
modal data is achieved, and the accuracy of the key symptoms is improved. And the intervention scheme is updated in real time according to the
patient state change. In the intervention decision recommendation module, the
system generates personalized diagnosis suggestions based on the optimized strategy, carries out real-time
risk assessment, and provides continuous and dynamic intervention support for the patient.