DocumentCode :
3769834
Title :
Data mining techniques in Indian healthcare: A short review
Author :
Amit Kumar Das;Aman Kedia;Lisha Sinha;Saptarsi Goswami;Tamal Chakrabarti;Amlan Chakrabarti
Author_Institution :
Computer Science and Engineering, University of Engineering and Management, Kolkata, India
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
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.
Keywords :
"Data mining","Diseases","Hospitals","Medical diagnostic imaging","Time series analysis","Industries"
Publisher :
ieee
Conference_Titel :
Man and Machine Interfacing (MAMI), 2015 International Conference on
Type :
conf
DOI :
10.1109/MAMI.2015.7456611
Filename :
7456611
Link To Document :
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