Medicine quality control analysis method and device based on machine learning, equipment and medium

Abstract

The invention discloses a medicine quality control analysis method and device based on machine learning, equipment and a medium, and relates to the technical field of information. According to the method, the feature space of a machine learning model can be expanded, and disease attribute features and medicine attribute features are introduced, so that the quality control analysis precision of themodel is improved. The method comprises the following steps: determining an identification feature vector corresponding to disease identification information and medicine identification information;determining an attribute feature vector commonly corresponding to the disease attribute information and the medicine attribute information; and determining a quality control analysis result of the medicine in the patient medical record according to the identification feature vector and the attribute feature vector. The invention relates to a machine learning technology in artificial intelligence,is suitable for quality control analysis of medicines and is also suitable for the field of smart medical treatment, so that the construction of smart cities can be further promoted. In addition, theinvention also relates to a blockchain technology.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a machine learning-based drug quality control analysis method, device, equipment and medium. Background technique [0002] In the process of patient diagnosis and treatment, the patient's medication is usually given by the attending physician based on his diagnosis and inspection results. In order to ensure the rationality of the medicines prescribed by the doctor, the quality of the medicines prescribed by the doctor can be monitored through machine learning. , to avoid poor treatment results or additional drug expenses for patients due to irrational drug use. [0003] At present, the quality control of medicines is usually carried out using the names of diseases and medicines in the prescriptions prescribed by doctors. However, in this method of quality monitoring that only relies on disease names and drug names, the feature space of the machine learning model is ...

AI Technical Summary

Problems solved by technology

However, in this method of quality monitoring that only relies on disease names and drug names, the feature space of the machine learning model is relatively limited, and the model cannot obtain more feature information during the quality monitoring process, which leads to low quality control accuracy of the model. Unable to effectively judge the rationality of the doctor's medication

Images