IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 4 - Issue 12, December 2015 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Health Care Analysis Using Hadoop

[Full Text]

 

AUTHOR(S)

Prashant Dhotre, Sayali Shimpi, Pooja Suryawanshi, Maya Sanghati

 

KEYWORDS

KEYWORDS: Electronic Medical Records (EMR), Big data, data mining, Hadoop.

 

ABSTRACT

ABSTRACT: The Electronic Medical Records (EMRs) are the primary sources to study the enhancement of health and medical care. The rapid development in science and medical technology has produced various methods to detect, verify, prevent and treat diseases. This has led to the generation of big health-care data and difficulties in processing and managing data. To capture all the information about a patient and to get a more detailed and complete view for insight into care coordination and management decisions big data technologies can be used. A more detailed and complete picture about patients and populations can be identified along with patients at risk before any health issue arises. Optimal strategies to commercialize treatments and the next generation of health care treatments can be identified and developed by it.

 

REFERENCES

[1] Shanjiang Tang, Bu-Sung Lee, Bingsheng He, “DynamicMR: A Dynamic Slot Allocation Optimized Framework for MApReduced Clusters:, IEEE Transactions, 2013.

[2] Wullianallur Raghupathi and Viju Raghupathi, “Big data analytics in healthcare: promise and potential”, Health Information Science and Systems 2014.

[3] Divyakant Agrawal, UC Santa Barbara, Philip Bemstein, Microsoft Elisa Bertino, Purdue Univ. “Big data White pdf”, from Nov 2011 to Feb 2012.

[4] International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 7, July 2014).

[5] W. Hersh, “Health-care hit or miss?” Nature, vol. 470, pp.327-329, Feb. 2011.

[6] M.A. Musen and J.H.Bemmel, Handbook of Medical Informatics, HOuten: Bohn Stafleu Van Loghum, 1999.

[7] E.F. Codd, “A relationalmodel of data for large shared data banks” Column. ACM, vol.13(6), pp. 377-387, 1970.

[8] NoSQLDatabases,Available: http://www.nosql-database.org/

[9] 10gen. MonogDB, http://www.mongodb.org/

[10] https://en.wikipedia.org/wiki/K-means_clustering

[11] National Health Insurance Research Database, Available: http://nhird.nhri.org.tw/en/index.htm

[12] National Health Insurance Administration, Available: http://www.nhi.gov.tw/english/index.aspx

[13] P.A.Bemstein, “Future directions in DBMS research- the Laguna Beach Participants” ACM SIGMOD Record, vol. 18(1), pp. 17-26, 1989.

[14] A. Silberschatz and S.Zdonik, “Strategic directions in database systems-breaking out of the box”ACM Comput. Surv, vol. 28(4), pp.764-778, Dec. 1996.

[15] G. DeCandia, “Dynamo: amazon’s highly available key-value store” ACM SIGOPS, vol.41(6), pp. 205-220, Dec. 2007.

[16] F. Chang, “Big table: a distributed storage system for structured data” ACM T.Comput. Syst., vol. 26, no. 2, art. 4, 2006.