The application discloses a kind of
chronic disease auxiliary
drug curative effect evaluation and personalized recommendation method, comprising the following steps: step one:
real world data acquisition, step two: data
standardization and
annotation, step three:
curative effect evaluation model construction, step four:
patient population stratification, step five: personalized
drug recommendation, step six: data update and model iteration;The application is aimed at the clinical characteristics of three kinds of chronic diseases,
liver disease, diabetes and hypertension, and constructs a multidimensional real world
database and a targeted
curative effect evaluation model, realizes the personalized and accurate recommendation of the auxiliary
drug of the three kinds of chronic diseases, breaks through the limitation of single
disease drug recommendation, effectively improves the clinical curative effect of auxiliary drug, reduces the risk of adverse drug reactions, and provides scientific support for the clinical
rational use of drugs for the three kinds of chronic diseases.