Knowledge discovery from user health posts

被引：0
|
作者：
Mane, Vinod L. [1 ]
Panicker, Suja S. [1 ]
Patil, Vidya B. [1 ]
机构：
[1] MAEERs MIT, Dept Comp Engn, Pune, Maharashtra, India
来源：
PROCEEDINGS OF 2015 IEEE 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO) | 2015年
关键词：
Knowledge discovery; Data Mining; Association rule mining;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Online health communities offer tremendous medical information that could be available to all. However as is the case with other data intensive applications, this information contains hidden patterns which if explored, analyzed and understood could be very useful for administrators, medical practitioner sand patients alike. There are websites where patients express their experiences or side-effects on drugs used. In this work we collect such real time health posts from reputed websites, and perform data mining to determine the various possible associations from these posts. Also, we shall perform knowledge discovery from user posts, whereby useful 'patterns' about groups like: disease to disease, disease to drug and drug to symptom are discovered.
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页数：6
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