Medication sequence recommendation method and apparatus, readable medium and electronic device

Abstract

The invention discloses a medication sequence recommendation method and apparatus, a readable medium and an electronic device. The method comprises the steps of: determining historical medication datacorresponding to a historical patient with a specific disease; determining a first medication sequence corresponding to the historical medication data and a adverse medicine set corresponding to thefirst medication sequence according to the historical medication data; performing training according to the historical medication data and the first medication sequence, establishing a medication sequence model, and substituting to-be-predicted data of a current patient into the medication sequence model to obtain a second medication sequence of the current patient; and processing the second medication sequence of the current patient according to the adverse reaction drug set corresponding to the first medication sequence so as to determine a recommended medication sequence. Through the technical scheme of the invention, the actual data of the current patient and the adverse reaction drug set of the historical patient are considered, and the recommended drug use sequence with higher medical value can be obtained.

Description

technical field [0001] The invention relates to the technical field of medical data mining, in particular to a method, device, readable medium and electronic equipment for recommending a medication sequence. Background technique [0002] In the actual hospital diagnosis and treatment process, for the same patient, when the doctor prescribes medicine for the patient, it is mostly in the state of trying medicine. If the patient has a corresponding adverse reaction after taking the medicine, the doctor will change the medicine for the patient. In rare cases, it may lead to different doctors prescribing medicines for patients each time, making it difficult for doctors prescribing medicines to keep abreast of patients' medications and drug changes. With the rapid development of big data technology and "Internet +", The use of computer technology to establish a drug recommendation system to assist drug decision-making and recommend drug use has attracted attention. [0003] At pr...

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned medication recommendation system does not use the patient's historical medication data, nor does it consider the patient's adverse drug reactions (Adverse Drug Reactions (ADR) refers to the use of commonly used doses of drugs due to drug The effect of itself or the interaction between drugs produces various reactions that are irrelevant to the purpose of the drug and are not conducive to the patient), which leads to the fact that the drug recommended for the patient cannot treat the patient's disease more effectively

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