Method for converting physical examination diagnostic data into disease label

Abstract

The invention discloses a method for converting physical examination diagnostic data into a disease label. The method comprises the steps that 1, the physical examination diagnostic data is subjected to text word segmentation and new word finding processing, and a word sequence is obtained; 2, in the word sequence, needed disease vocabularies are extracted, and disease names are obtained; 3, synonyms in the disease names are merged, and merged disease names are obtained; 4, the disease names are clustered, and a disease category tree is set up; 5, disease marking is carried out according to the merged disease names and the disease category tree, and the disease label is obtained. According to the method, multiple natural language processing technologies are adopted for mining disease results in the physical examination diagnostic data, a disease classification structure is extracted, code digitization is carried out, the disease name label is provided for physical examination records, and therefore the physical examination result is more directly described, and other big data medical treatment can be served.

Description

technical field [0001] The invention belongs to the field of big data medical care, and in particular relates to a method for converting medical examination diagnosis data into disease labels. Background technique [0002] With the improvement of people's living standards and the enhancement of health care awareness, health check-ups have gradually become a social fashion. People have changed the traditional concept of going to the hospital only when they are sick, and regular check-ups have been accepted by most people. Therefore, hospitals have accumulated massive electronic medical examination data. However, there are a large amount of unstructured text medical examination data in the original electronic medical examination data. These text data are often disorderly, messy and redundant, and come from the hands of doctors of all levels and habits. They have great limitations and cannot be well utilized. [0003] Big data medical care is a current hot spot, which refers ...

AI Technical Summary

Problems solved by technology

[0004] At present, after each physical examination, the obtained medical examination diagnosis data is a doctor's diagnosis text in a complex form, and the diagnosis result has not been converted into a summary disease name, which is difficult for users to quickly understand and difficult for subsequent big data medical applications. analyze medical data

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