Feature acquisition method, electronic device, and computer-readable storage medium for controlled drugs

Abstract

The invention discloses a method for acquiring features of controlled drugs, which is applied to an electronic device. The method includes: acquiring original case data of an insurance institution database and a medical institution database; performing preprocessing on the original case data, and obtaining the preprocessed A data set; establish a classification model according to the forward characteristics, natural characteristics and backward characteristics of the controlled drug; extract the data of the controlled drug through the classification model; establish a specific controlled drug feature extraction according to the unique characteristics of the specific controlled drug model; and return the feature table of the specific controlled drug through the feature extraction model. The invention also provides an electronic device and a computer-readable storage medium. The present invention can quickly obtain feature sets of various controlled drugs by analyzing big data, and greatly improve the feature extraction speed and accuracy of different controlled drugs in different regions.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a feature acquisition method for controlling drugs, an electronic device and a computer-readable storage medium. Background technique [0002] With the rapid development of information technology, the amount of industry data has increased dramatically. For industries such as medicine and meteorology that need to store a large amount of detection information, they are facing the challenge of quickly analyzing big data. For example, in the pharmaceutical industry, many drugs are strictly controlled because of their certain hazards, and it is often difficult to grasp the use of these controlled drugs. At present, the screening of controlled drug violations is mainly based on the corresponding business logic. First, according to the usage rules, the compliance documents are extracted, and then the violation documents are obtained by subtraction. However, the business ...

AI Technical Summary

Problems solved by technology

However, the business logic corresponding to different drugs is almost different, and there are still some differences between the list of controlled drugs in different regions, which leads to switching to different regions. Different controlled drugs are often easily overlooked and underestimated when extracting features. feature

Images