The application relates to the fields of
medical care informatics and precision medical technology, and discloses a precision medication
system for
hemodialysis patients based on multiple
omics and
big data, which comprises the following modules: a multi-
source data acquisition module, which acquires multi-source heterogeneous data of patients and performs
standardization and integration
processing; a
drug metabolism analysis module, which analyzes
drug metabolism pathways and individual differences through multi-
omics data, constructs a
drug metabolism polymorphism model, and outputs
gene metabolism capacity classification and biomarker risk labels; an initial medication decision module, which is used for constructing an initial medication
decision model based on a federal optimization framework of
momentum enhancement and robust aggregation mechanism, and outputting a personalized initial medication scheme for
erythropoietin and intravenous iron agents; and a drug
dose adjustment module, which is used for dynamically optimizing time nodes and
dose adjustment opportunities of
drug administration through an asynchronous federal
reinforcement learning framework combined with a forward-looking parameter correction strategy. The application constructs an intelligent medication
system with strong robustness and fine decision.