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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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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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