Clinical treatment drug recommendation model construction method in co-disease state

The invention provides a method for constructing a clinical treatment drug recommendation model in a co-disease state, and the method comprises the steps: obtaining a data set, each piece of data containing diagnosis symptom information, treatment drug information and patient information; respectively extracting a diagnosis symptom entity, a treatment drug entity and a patient entity in each data; dividing data in the data set into a training set and a test set; establishing a patient-variable matrix according to data in the training set; adopting different recommendation strategies to respectively learn the patient-variable matrix to obtain an entity embedding matrix; constructing a therapeutic drug scoring model according to the entity embedding matrix; inputting the symptom diagnosis entity of each data in the test set into the therapeutic drug scoring model to obtain a corresponding therapeutic drug recommendation result; selecting an optimal recommendation strategy according to the therapeutic drug infor