The invention belongs to the technical field of medical
big data analysis and intelligent
medical treatment, and discloses a cardiovascular
disease full-cycle diagnosis and
treatment management system based on multi-
modal data fusion. The
system comprises a mobile wearing
data acquisition module, a multi-
modal data fusion module, an equipment linkage control module, a first-aid collaborative response module and a full-period management center module.
Heart rate,
blood pressure, blood
oxygen and dynamic electrocardiosignals are continuously collected through a
heart protection instrument, unified access is conducted on the
heart rate, the
blood pressure, the blood
oxygen and the dynamic electrocardiosignals, hospital historical diagnosis and treatment data and living
habit data, multi-
source data are fused through an attention mechanism and a graph neural network, an individualized dynamic health baseline is established, and health state evaluation and
cardiovascular event early warning results are output; physiotherapy, retest and medication reminding are automatically linked according to an
evaluation result, and first-aid linkage is triggered when a preset high-risk condition is met. According to the
system, deep fusion of cardiovascular
disease multi-
modal data and closed-loop management of monitoring, early warning, intervention and
emergency treatment are realized, and the early warning accuracy and the
emergency treatment response efficiency are improved.