The invention belongs to the technical field of medical
informatics, and discloses an
internal medicine disease treatment scheme
optimization system and method based on
machine learning, and the
system comprises a heterogeneous
data monitoring module which is integrated with a multi-source heterogeneous medical
database through a standard medical API interface, and extracts and obtains
internal medicine disease heterogeneous data; the immune response
network module simulates an
antigen recognition response mode, constructs a treatment scheme
antigen representation matrix according to the
internal medicine disease heterogeneous data, recognizes abnormal treatment
modes through transfer learning, removes invalid treatment schemes or treatment schemes with side effects corresponding to all the abnormal treatment
modes, and then obtains historical
effective treatment schemes; a neural symbol memory mechanism is adopted, historical
effective treatment scheme fragments are stored, and a treatment scheme variant is constructed based on an adversarial generation mechanism; and the accuracy, individuation and safety of a treatment scheme are improved, so that the
treatment effect of internal
medicine diseases is remarkably improved, side effects and wrong schemes are reduced, and the development of precise
medical treatment is promoted.