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Mining Medical Data: A Comprehensive Study

Rama rishna K1 , K G Mohan2

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-16 , Page no. 98-100, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si16.98100

Online published on May 18, 2019

Copyright © Rama Krishna K, K G Mohan . 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: Rama Krishna K, K G Mohan, “Mining Medical Data: A Comprehensive Study,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.16, pp.98-100, 2019.

MLA Style Citation: Rama Krishna K, K G Mohan "Mining Medical Data: A Comprehensive Study." International Journal of Computer Sciences and Engineering 07.16 (2019): 98-100.

APA Style Citation: Rama Krishna K, K G Mohan, (2019). Mining Medical Data: A Comprehensive Study. International Journal of Computer Sciences and Engineering, 07(16), 98-100.

BibTex Style Citation:
@article{K_2019,
author = {Rama Krishna K, K G Mohan},
title = {Mining Medical Data: A Comprehensive Study},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {16},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {98-100},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1286},
doi = {https://doi.org/10.26438/ijcse/v7i16.98100}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i16.98100}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1286
TI - Mining Medical Data: A Comprehensive Study
T2 - International Journal of Computer Sciences and Engineering
AU - Rama Krishna K, K G Mohan
PY - 2019
DA - 2019/05/18
PB - IJCSE, Indore, INDIA
SP - 98-100
IS - 16
VL - 07
SN - 2347-2693
ER -

           

Abstract

Health care industry generates huge volumes of data that comprises of complex information pertaining to patients’ data and their medical history. Data mining methodologies have the abilities to discover hidden patterns and associations among the attributes in the medical dataset. Due to Data Mining’s enormous applications, there has been an upsurge in usage of data mining techniques on medical data for discovering useful trends or knowledge patterns that are used in strategic decision-making process or disease diagnosis and treatment process. This paper focuses on need for mining medical data, issues and challenges surrounding Mining Medical Data.

Key-Words / Index Term

Data Mining, Health care, Knowledge Discovery (KDD), Decision-making

References

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