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  Published Paper Details:

  Paper Title

HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM

  Authors

  Akanksha Toley,  Shrutika Jambhale,  Sukanya Rawool,  Vinayak Sridhar

  Keywords

Data modelling, MATLAB,Naive Bayes Algorithm, data mining, conditional probability

  Abstract


The main objective of this research is to develop a decision support in Heart Disease Prediction System (HDPS) using one Data Modelling technique , namely, Naive Bayes. Using medical attributes such as age,sex,blood pressure, ECG graph, etc. It can predict the likelihood of patients getting a heart disease. HDPS is implemented as an application in MATLAB which can answer user queries, it can discover and extract hidden knowledge(patterns and relationships) associated with heart disease from a historical heart disease database. It can answer complex queries for diagnosing heart disease and thus assist healthcare practitioners to make intelligent clinical decisions which traditional decision support systems cannot.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1893179

  Paper ID - 190724

  Page Number(s) - 137-141

  Pubished in - Volume 6 | Issue 2 | April 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Akanksha Toley,  Shrutika Jambhale,  Sukanya Rawool,  Vinayak Sridhar,   "HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.137-141, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1893179.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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