摘要
互联网医疗的蓬勃发展带来了大量的数据积累,如何有效的利用这些数据是当前面临的问题。通过开发爬虫软件,获取了截至2017年2月寻医问药网中内科和外科的131894条咨询数据。针对这些数据,用统计学方法调查用户的性别和年龄分布,通过程序识别咨询数据中的症状和疾病,统计了现阶段互联网医疗用户症状和疾病的分布。
The rapid development of the Interuet medical has brought a lot of data, and how to make effective use of these data is the problem currently faced. In this paper, a crawler is developed to have acquired 131,894 internal and surgical medicine enquiry data by February 2017, from medicine websites. According to these data, the distribution of users＇ gender and age are investigated by the statistical methods, and the distribution of the symptoms and diseases of the Intemet medical users at this stage are counted by the identification.
出处
《计算机时代》
2017年第4期41-43,46,共4页
Computer Era
关键词
互联网医疗
网页爬虫
症状分布
疾病分布
Interact medical
Web crawler
symptom distribution
disease distribution
