Methods for Analyzing Unknown Health Risk Based on Nature Language Process (NLP).
Journal:
Studies in health technology and informatics
PMID:
38007793
Abstract
With the rapid spread of epidemic situation, how to quickly analyze health risk factors has become a major challenge in the current public health field. The development of natural language processing (NLP) technology allows us to quickly capture the details of dealing with unknown health risks from massive data. This study uses official case reports on the Chinese Internet since the outbreak of Delta to analyze, and tries to use NLP technology to quickly analyze relevant health risk factors. This research attempts to use NLP-related technologies to interpret the main health risks before the goal, and to provide research methods and ideas for future response to unknown health challenges. This study found that it is difficult for non-public health professionals to understand the health risk factors interpreted by NLP. At present, the use of NLP to analyze cases related to health threats is not practical, and its role is mainly reflected in improving the efficiency of large-scale data analysis and decision support.