Analysis of Health Data for the Elderly based on Medical Website Mining

Xue Tian; Xia Wang; Ying Li

doi:10.54097/smq5vf11

Authors

Xue Tian
Xia Wang
Ying Li

DOI:

https://doi.org/10.54097/smq5vf11

Keywords:

Health of the Elderly, Medical Big Data, Jieba Segmentation, LDA Algorithm

Abstract

The development of Internet medicine provides a convenient platform for doctor-patient communication, and provides an important data source for paying attention to the health of the elderly. In this study, a large number of consultation records obtained from the medical website was screened and cleaned, and the medical thesaurus was generated by training of its own data to solve the problem of inaccurate professional terminology segmentation caused by using default jieba segmentation. At the same time, we use the trained medical thesaurus to conduct topic mining of the consultation data, and it is found that the most concerned problems in the field of elderly health are cerebro-cardiovascular, pulmonary and stomach diseases, so as to provide further medical advice and targeted services.

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