IEEE Style Citation: Snehal H. Chaflekar, R. Shinganjude, “Review Paper on Application of Data Mining on Healthinformatics,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.174-175, 2018.
MLA Style Citation: Snehal H. Chaflekar, R. Shinganjude "Review Paper on Application of Data Mining on Healthinformatics." International Journal of Computer Sciences and Engineering 6.8 (2018): 174-175.
APA Style Citation: Snehal H. Chaflekar, R. Shinganjude, (2018). Review Paper on Application of Data Mining on Healthinformatics. International Journal of Computer Sciences and Engineering, 6(8), 174-175.
BibTex Style Citation:
@article{Chaflekar_2018,
author = {Snehal H. Chaflekar, R. Shinganjude},
title = {Review Paper on Application of Data Mining on Healthinformatics},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {174-175},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2673},
doi = {https://doi.org/10.26438/ijcse/v6i8.174175}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.174175}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2673
TI - Review Paper on Application of Data Mining on Healthinformatics
T2 - International Journal of Computer Sciences and Engineering
AU - Snehal H. Chaflekar, R. Shinganjude
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 174-175
IS - 8
VL - 6
SN - 2347-2693
ER -
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Abstract
Data mining is a relatively new field of research whose major objective is to acquire knowledge from large amounts of data. In medical and health care areas, due to regulations and due to the availability of computers, a large amount of data is becoming available. On the one hand, practitioners are expected to use all this data in their work but, at the same time, such a large amount of data cannot be processed by humans in a short time to make diagnosis, prognosis and treatment schedules. Data mining in the medical domain works on the past experiences (data collected) and analyse them to identify the general trends and probable solutions to the present situations. This paper is concerned with the application of data mining techniques in the domain of the medical field of heart diseases/attack. We carried out extensive experiments applying different data mining techniques including Relevance analysis, Association Rules Mining and Clustering. We report the findings which are very promising.
Key-Words / Index Term
Diagnosis, prognosis, clustering
References
[1] Mrs.a.vanitha, Dr.n.nagadeepa, “Analysis of current applications and issues Of data mining in healthcare”, International Journal of Advanced research in Computer science engineering and information technology, 25-oct-2014
[2] Khalid raza, “Application of data mining in bioinformatics”, Indian Journal of computer science and engineering, may 2014.
[3]Akanksha, vinod maan, “Data mining with big data in health informatics”, international journal of computer science trends and technology (ijcst) – volume 5 issue 2, mar – apr 2017
[4] Snehal Chaflekar, “Intermediate Graphical Language using SDT”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 6, Issue 5, May 2017
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