Health Education Based on Natural Language Processing(NLP) for Infectious Disease Outbreak

Abstract

The purpose of this study is to test and use Natural Language Processing (NLP) to analyze epidemic case reports to establish an effective health education system. A total of 100 cases were randomly selected from the epidemiological case report of Feb 1, 2021 to May 15, 2021 published on the Chinese public media website. The NLP techniques are used to help the assessment team identify and summarize relevant issues. Infectious disease prediction system based on a small number of epidemic reports, in the shortest possible time to help the assessment team to summarize the relevant problems, for experts to make a judgment to provide a basis. We found that NLP technology can play a certain role in the analysis of epidemiological reports, which is based on mature languages of existing language libraries, and can effectively improve the analysis efficiency of experts. This preliminary study confirmed that NLP technology can be used to analyze the text of epidemic case reports and help experts quickly establish a health education system.