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

Xue Tian, Xia Wang, Ying Li
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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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基于医疗网站挖掘的老年人健康数据分析
互联网医疗的发展为医患沟通提供了便捷的平台,也为关注老年人健康提供了重要的数据来源。本研究对从医疗网站获取的大量问诊记录进行了筛选和清洗,并通过对自身数据的训练生成了医学词库,解决了使用默认的jieba分割造成的专业术语分割不准确的问题。同时,利用训练好的医学词库对问诊数据进行主题挖掘,发现老年人健康领域最关注的问题是脑心血管、肺部和胃部疾病,从而提供进一步的医疗建议和针对性服务。
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