The invention relates to the technical field of intelligent
medical diagnosis, in particular to a clinical microbial infection intelligent diagnosis
system and method based on multi-
omics data fusion, and the method comprises the steps: collecting and
processing time sequence multi-
omics data, and generating a transient infection state snapshot vector; constructing a
time sequence state transition model, inputting the instantaneous infection state snapshot vector into the
time sequence state transition model, and predicting and generating a future
state vector; respectively calculating a
pathogen threat index and a host imbalance index based on the future
state vector; generating a comprehensive risk
score based on the
pathogen threat index and the host imbalance index, and determining an early warning grade according to a preset early warning grade threshold; generating a hierarchical intervention strategy based on the early warning level in combination with the
pathogen threat index and the host disorder index; outputting a grading intervention strategy as a specific diagnosis and treatment suggestion; according to the invention, prospective early warning is realized, and the situation that the
optimal treatment opportunity is delayed due to the change of waiting indexes is effectively avoided.