Data Processing in Information Systems: Health Care Data Analysis
Srikanth Bethu1 , B Sankara Babu2 , R. Aruna Flarence3
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-7 , Page no. 462-470, Jul-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i7.462470
Online published on Jul 31, 2018
Copyright © Srikanth Bethu, B Sankara Babu, R. Aruna Flarence . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Srikanth Bethu, B Sankara Babu, R. Aruna Flarence, “Data Processing in Information Systems: Health Care Data Analysis,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.462-470, 2018.
MLA Style Citation: Srikanth Bethu, B Sankara Babu, R. Aruna Flarence "Data Processing in Information Systems: Health Care Data Analysis." International Journal of Computer Sciences and Engineering 6.7 (2018): 462-470.
APA Style Citation: Srikanth Bethu, B Sankara Babu, R. Aruna Flarence, (2018). Data Processing in Information Systems: Health Care Data Analysis. International Journal of Computer Sciences and Engineering, 6(7), 462-470.
BibTex Style Citation:
@article{Bethu_2018,
author = {Srikanth Bethu, B Sankara Babu, R. Aruna Flarence},
title = {Data Processing in Information Systems: Health Care Data Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {462-470},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2458},
doi = {https://doi.org/10.26438/ijcse/v6i7.462470}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.462470}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2458
TI - Data Processing in Information Systems: Health Care Data Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - Srikanth Bethu, B Sankara Babu, R. Aruna Flarence
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 462-470
IS - 7
VL - 6
SN - 2347-2693
ER -
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Abstract
Searching for medical information on the Web is popular and important. However, medical search has its own unique requirements that are poorly handled by existing medical Web search engines (WSE). The first online medical Web search engine that extensively uses medical knowledge and questionnaire to facilitate ordinary internet users to search for medical information. All existing medical WSEs assume that searchers can form appropriate queries by themselves. However, most Internet users do not have much medical knowledge. Frequently, a medical information searcher has only a vague idea about the problem that he is facing and does not know the proper way to clearly describe his situation in sufficient detail. As a result, appropriate guidance is highly necessary during the medical search process. This can be illustrated by an analogy to the medical diagnosis process. In this paper we mainly focused on how health care data is analysed by a web user and how he is retrieving the information from the Data Processing Information Systems.
Key-Words / Index Term
Data Processing, Information Systems, Medical search Process, WSE
References
[1] A.L. Komaroff, Harvard Medical School Family Health Guide, Free Press, 2004.
[2] C. Sherman. (2005) Curing medical information disorder. [Online]. Available:http://searchenginewatch.com/showPage.html?page=3556491
[3] D.L. Kasper, E.Braunwald, and A. Faucietal, Harrison`s Principles of Internal Medicine, 16th ed., McGraw-Hill Professional, 2004.
[4] John Wiley & Sons, American Medical Association Family Medical Guide, 4th ed., 2004.
[5] J.G. Carbon ell and J. Goldstein, “The use of MMR, diversity-based re-ranking for Reordering documents and producing summaries,” in Proc. SIGIR’98, 1998, pp. 335-336.
[6] P.J. Bickel and K.A. Dorsum, Mathematical Statistics: Basic Ideas and Selected Topics, Vol. 1, Prentice Hall, 2001.
[7] P.M. Healey and E.J. Jacobson, Common Medical Diagnoses: An Algorithmic Approach, 2nd ed., W.B. Saunders, 1994.
[8] R.A.Baez a-Yates and B.A.Ribeiro-Neto.Modern InformationRetrieval,ACM Press/Addison-Wesley, 1999
[9] R.D. Collins, Algorithmic Diagnosis of Symptoms and Signs: Cost-Effective Approach Lippincott Williams & Wilkins, 2002.
[10] S.E. Robertson, S. Walker, and M. Hancock-Beaulieu, “Okapi at TREC-7: automatic ad hoc Filtering, VLC and interactive,” in Proc.TREC’98, 1998, pp. 199-210.
[11] A survey on Internet of things for health care and medication management. IJSRCSE, Volume 2, Issue 1, January – February 2017, Pages 1 – 5.