Volume & Issue no: Volume 4, Issue 1, January - February 2015
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Title: |
INTELLIGENT HEART DISEASE PREDICTION SYSTEM WITH MONGODB |
Author Name: |
AKASH JARAD,ROHIT KATKAR,ABDUL REHAMAN SHAIKH, ANUP SALVE |
Abstract: |
Abstract
The Healthcare and medical fields are rich in information but
is not properly used to its potential .This results in the weak or
bad decision making ability .This paper focuses on the aspect
which is neglected in the process i.e. the data which is not
mined. We use 14 attributes to predict the chances of heart
disease prediction and thereby preventive measures can be
taken to avoid it. The system is reliable, expandable and webbased
and user-friendly. It also serves a purpose of training
nurses and doctors newly introduced in the field related to
heart disease.
Keywords :-Data Mining, K-Means, Naïve bayes, Heart
disease prediction, Sensitivity and Specificity, MongoDB,
filtration, NoSql. |
Cite this article: |
AKASH JARAD,ROHIT KATKAR,ABDUL REHAMAN SHAIKH, ANUP SALVE , "
INTELLIGENT HEART DISEASE PREDICTION SYSTEM WITH MONGODB" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 1, January - February 2015 , pp.
236-239 , ISSN 2278-6856.
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