Analysis of Multi-diseases using Big Data for improvement in Healthcare

被引：0
|
作者：
Adil, Asif [1 ]
Kar, Hushmat Amin [2 ]
Jangir, Rajendra [2 ]
Sofi, Shabir Ahmad [2 ]
机构：
[1] BFIT Dehradun, Dept IT CS, Dehra Dun, Uttar Pradesh, India
[2] NIT Srinagar, Dept IT, Srinagar, Jammu & Kashmir, India
来源：
2015 IEEE UP SECTION CONFERENCE ON ELECTRICAL COMPUTER AND ELECTRONICS (UPCON) | 2015年
关键词：
Big Data; Hadoop; Healthcare; multi-diseases analysis; Analytics with Hadoop; Unstructured Medical data;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The data analytics using big data is an upcoming field which helps us in getting quick results from structured and unstructured huge amount of data. There are many fields like healthcare, weather forecasting, education etc. where the data analytics can help us in improving the applicability and services provided thereof. In our paper we concentrate on benefits of Big Data in healthcare therein using the global multi-disease data pertaining to different regions. We made analysis using Hadoop. The results show that there is a lot of information hidden within the medical data which can be useful in improving the healthcare in particular region.
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页数：6
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