Data mining techniques in Indian Healthcare: A Short Review

被引:0
作者
Das, Amit Kumar [1 ]
Kedia, Aman [2 ]
Sinha, Lisha [2 ]
Goswami, Saptarsi [2 ]
Chakrabarti, Tamal [2 ]
Chakrabarti, Amlan [3 ]
机构
[1] Univ Engn & Management, Comp Sci & Engn, Kolkata, India
[2] Inst Engn & Management, Comp Sci & Engn, Kolkata, India
[3] Univ Calcutta, AK Choudhury Sch IT, Kolkata 700073, W Bengal, India
来源
PROCEEDINGS 2015 INTERNATIONAL CONFERENCE ON MAN AND MACHINE INTERFACING (MAMI) | 2015年
关键词
Data Mining; Healthcare; Predictive Analytics; India; LENGTH-OF-STAY; CLASSIFICATION; PREDICTION; FRAUD;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Healthcare is a fast-growing field in developed and developing countries alike. Indian healthcare has also witnessed rapid growth in the recent past. The data generated is of very high volume and exhibit wide diversity, and hence data mining opportunities available in various areas of health care industry are immense. In this paper, a brief review of data mining applications in healthcare has been presented. The key differentiating factors of the paper is its focus on India and a patient lifecycle oriented view of the problems. As found by the study, most of the researches have been focused on predicting a disease which is a part of ongoing care management. This paper presents many uncharted areas of future research in this domain especially in Indian context.
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页数:7
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