Analysis on the Characteristics of Insomnia Groups Based on Web Data Mining
10.3969/j.issn.1673-6036.2017.08.015
- VernacularTitle:基于Web数据挖掘的失眠症人群特征分析
- Author:
feng Lin WANG
1
;
feng Jun YAN
;
qing Huan LIU
Author Information
1. 湖南中医药大学管理与信息工程学院 长沙410208
- Keywords:
Web data mining;
Text segmentation;
Insomnia;
Keywords extraction
- From:
Journal of Medical Informatics
2017;38(8):64-68
- CountryChina
- Language:Chinese
-
Abstract:
The paper introduces some common methods (including web crawler technology,Chinese words segmentation and keyword extraction algorithm) of Web data mining,acquires the data related to insomnia in the online medical website through the web crawler technology,classifies and processes the data,carries out words segmentation and keywords extraction of the text data based on the rules,and analyzes the gender and age distribution situations,symptoms,causes of disease and other characteristics of patients with insomnia.