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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
      <JournalTitle>Allana Management Journal of Research, Pune</JournalTitle>
      <PISSN>? ?2581-3137 (</PISSN>
      <EISSN>) 2231 - 0290 (Print)</EISSN>
      <Volume-Issue>Volume 9, Issue 2 </Volume-Issue>
      <Season>July 2019 - December 2019</Season>
      <ArticleType>Information Technology Management</ArticleType>
      <ArticleTitle>Prediction of Heart Disease Using Decision Tree</ArticleTitle>
          <FirstName>Mrs. Mehdi Khundmir</FirstName>
          <FirstName>Mr. Imran Sadekh</FirstName>
      <Abstract>Purpose- Prediction of heart disease at the early stage may reduce death ratio to some extent. This software helps prediction of heart disease at an early stage.Now a days healthcare organizations generates huge data but that are highly unorganized. If this data is organized in a proper way using data mining technique it can be easily use for the prediction of heart diseases.&#13;
Objective- To develope a heart disease prediction system using Decision Tree using J-48 algorithm with two method i.e Cross fold validation and Percentage Split for prediction and implementation.&#13;
Design/Methodology/Approach- In this paper we have taken Cleveland data from UCI repository. It consist of 303 records. A visualization of Heart disease is shown Using Power BI Dashboard. Where percentagewise male, female, age group , cholesterol level is shown for Heart disease. And developed a heart disease prediction system using Decision Tree using J-48 algorithm with different method for prediction and implementation.&#13;
Findings- The cause of heart attacks and strokes are usually heart disease level, chest pain, Restecg, Oldpeak etc. it is shown by the decision tree. As well as the cause of heart attacks and strokes are usually due to following risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol, hypertension, diabetes and hyperlipidemia</Abstract>
      <Keywords>Data mining, Heart Disease, CVDs, Decision Tree (J-48), Heart Disease Prediction System,Health Care Organization etc.</Keywords>
        <Abstract>https://aimsjournal.org/ubijournal-v1copy/journals/abstract.php?article_id=6557&amp;title=Prediction of Heart Disease Using Decision Tree</Abstract>
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