Big Data Survey in Healthcare and a Proposal for Intelligent Data Diagnosis Framework

被引：0

作者：

Babar, Muhammad Imran ^{[1
]}

Jehanzeb, Muhammad ^{[1
]}

Ghazali, Masitah ^{[2
]}

Jawawi, Dayang N. A. ^{[2
]}

Sher, Falak ^{[2
]}

Ghayyur, Shahbaz Ahmed Khan ^{[3
]}

机构：

[1] Army Publ Coll Management Sci, Rawalpindi, Pakistan

[2] Univ Teknol Malaysia, Johor Baharu, Malaysia

[3] Int Islamic Univ, Islamabad, Pakistan

来源：

2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年

关键词：

health care; data analytics; BIG DATA; decision support; machine learning; data mining; MANAGEMENT;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Healthcare is one of the core areas in medical domain. In healthcare the data exist in various forms like respiration data, blood pressure readings, prescriptions and others. The data may help in decision-making for different initiatives in order to provide better healthcare services. However, in order to make this possible there is a need to diagnose the data in a professional way. Currently, there is a lack of a system or way which may help in decision-making in big data analysis in the form of phases. In this research, a framework has been proposed to diagnose the healthcare data for efficient data analysis.

引用

页码：7 / 12

页数：6

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