The invention discloses a
digestion health
monitoring system based on
artificial intelligence, and the
system collects multi-source heterogeneous
digestion health data in real time through multiple channels, and constructs a structured knowledge
system covering the
digestive organ structure, the physiological process, the
disease symptom and other contents through a
knowledge graph technology. And the long-distance dependency relationship of the data is effectively captured by means of an improved Transform-XL model. The
system realizes deep interaction between a
knowledge graph and coded data, accurately extracts key characteristics of digestive health through a multi-layer neural network, completes health
state prediction and evaluation in combination with a professional evaluation model, and performs visual optimization output on a result. Meanwhile,
model parameters are dynamically adjusted based on
knowledge graph updating, and
stable system performance is ensured. The system overcomes the defects of a traditional monitoring means, efficient
processing and accurate analysis of
digestion health data are achieved, intelligent, real-time and comprehensive digestion health monitoring service is provided for users, and early discovery of digestive system diseases and health management are assisted.