INTERNATIONAL RESEARCH JOURNAL OF SCIENCE ENGINEERING AND TECHNOLOGY

( Online- ISSN 2454 -3195 ) New DOI : 10.32804/RJSET

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 104    Submit Your Rating     Cite This   Download        Certificate

A REVIEW ON HEART DISEASE PREDICTION USING HYBRID CLASSIFIER

    2 Author(s):  MUDASSIR AHMAD,DR. SONIA VATTA

Vol -  9, Issue- 2 ,         Page(s) : 18 - 24  (2019 ) DOI : https://doi.org/10.32804/RJSET

Abstract

Heart diseases are one of the major causes of death nowadays. Smoking, consumption of alcohol in large quantity, cholesterol, and pulse rate are the reason of heart diseases. This research work, is based on heart disease prediction using data mining. The prediction analysis is the technique of data mining which can predict further possibilities based in the current information. The data set has 13 numbers of attributes for the heart disease prediction. In the previous research work, the SVM classifier is applied for the heart disease prediction. Due to large number of attributes in the dataset, SVM classifier is not able to classify all the attributes due to which accuracy is low. In this work, the hybrid classifier will be designed based on the random forest and decision tree classifier. The random forest classifier will extract features of the dataset and decision tree classifier will generate the final predicted results. The proposed and existing techniques will be implemented analyzed in terms of accuracy, precision, recall and execution time.

 [1] Nidhi Bhatla, Kiran Jyoti, “An Analysis of Heart Disease Prediction using Different Data Mining Techniques”,IJERT,Vol 1, Issue 8, 2012.
[2] Syed Umar Amin, Kavita Agarwal, Rizwan Beg, “Genetic Neural Network based Data Mining in Prediction of Heart Disease using Risk Factors”, IEEE, 2013.
[3] A H Chen, S Y Huang, P S Hong, C H Cheng, E J Lin, “HDPS: Heart Disease Prediction System”, IEEE, 2011.
[4] M. Akhil Jabbar, B. L Deekshatulu, Priti Chandra, “Heart Disease Prediction using Lazy Associative Classification”, IEEE, 2013.
[5] Chaitrali S. Dangare, Sulabha S. Apte, “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques”, IJCA, Volume 47– No.10, June 2012.
[6] P. Bhandari, S. Yadav, S. Mote, D.Rankhambe, “Predictive System for Medical Diagnosis with Expertise Analysis”, IJESC, Vol. 6, pp. 4652-4656, 2016.
[7] Nishara Banu, Gomathy, “Disease Forecasting System using Data Mining Methods”, IEEE Transaction on Intelligent Computing Applications, 2014.
 [8] Sarath Babu, Vivek EM, Famina KP, Fida K, Aswathi P, Shanid M, Hena M, “Heart Disease Diagnosis Using Data Mining Technique,” 2017, IEEE
[9] Monira Islam, Md.Ashikuzzaman , Tahmida Tabassum and Md. Salah Uddin Yusuf, “A Non-Invasive Technique of Early Heart Diseases Prediction from Photoplethysmography Signal,” 2017, IEEE
[10] Tülay KarayÕlan, Özkan KÕlÕç, “Prediction of Heart Disease Using Neural Network,” 2017, IEEE
[11] Tahira Mahboob, Rida Irfan , Bazelah Ghaffar, “Evaluating Ensemble Prediction of Coronary Heart Disease using Receiver Operating Characteristics,” 2017, IEEE
[12] Procheta Nag, Saikat Mondal,  Foysal Ahmed, Arun More and M.Raihan,  “A Simple Acute Myocardial Infarction (Heart Attack) Prediction System Using Clinical Data and Data Mining Techniques,” 2017, IEEE
[13] Seyedamin Pouriyeh, Sara Vahid , Giovanna Sannino , Giuseppe De Pietro , Hamid Arabnia , Juan Gutierrez, “A Comprehensive Investigation and Comparison of Machine Learning Techniques in the Domain of Heart Disease,” 2017, IEEE
[14] Priyanga and Dr. Naveen, “Web Analytics Support System for Prediction of Heart Disease Using Naïve Bayes Weighted Approach (NBwa),” 2017, IEEE
[15] Priyanka N B.E., (M.Tech) and Dr.Pushpa RaviKumar B.E., M.Tech., Ph.D, “Usage of Data mining techniques in predicting the Heart diseases – Naïve Bayes & Decision tree,” 2017, IEEE.
[16] Purushottam, Prof. (Dr.) Kanak Saxena, Richa Sharma, “Efficient Heart Disease Prediction System”, 2016, pp.962-969.
[17] Mr. Chala Beyene, Prof. Pooja Kamat, “Survey on Prediction and Analysis the Occurrence of Heart Disease Using Data Mining Techniques”, International Journal of Pure and Applied Mathematics, 2018.
[18] Prajakta  Ghadge,Vrushali  Girme,  Kajal  Kokane,  and  Prajakta  Deshmukh, 2016, “Intelligent  Heart  Attack  Prediction  System  Using  Big  Data”,  International Journal of Recent Research in Mathematics Computer  Science and Information Technology,Vol. 2, Issue 2, pp.73-77, October 2015–March.
[19]  Aditya Methaila, Prince Kansal, Himanshu Arya, Pankaj Kumar, “Early Heart Disease Prediction Using Data Mining Techniques”.
[20] Abhishek Taneja, “Heart Disease Prediction System Using Data Mining Techniques”.
[21] Chaitrali S. Dangare Sulabha S. Apte, “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques”.
[22] Dr. K. Usha Rani,analysis of heart diseases dataset using neural network approach,International Journal of Data Mining & Knowledge Management Process, 2011

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details