Prediction of Heart Disease Using Machine Learning Algorithms

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Heart disease is the one of the most common disease. This disease is quite common now a days we used different attributes which can relate to this heart diseases well to find the better method to predict and we also used algorithms for prediction. Naive Bayes, algorithm is analyzed on dataset based on risk factors. We also used decision trees and combination of algorithms for the prediction of heart disease based on the above attributes. The results shown that when the dataset is small naive Bayes algorithm gives the accurate results and when the dataset is large decision trees gives the accurate results.

     

     


  • Keywords


    Decision tree, Data mining, Heart Disease Prediction, Naïve Bayes, K-means, Machine learning.

  • References


      [1] Sonam Nikhar, A.M. Karandikar “Prediction of Heart Disease Using Machine Learning Algorithms” in International Journal of Advanced Engineering, Management and Science (IJAEMS) June-2016 vol-2

      [2] Deeanna Kelley “Heart Disease: Causes, Prevention, and Current Research” in JCCC Honors Journal

      [3] Nabil Alshurafa, Costas Sideris, Mohammad Pourhomayoun, Haik Kalantarian, Majid Sarrafzadeh "Remote Health Monitoring Outcome Success Prediction using Baseline and First Month Intervention Data" in IEEE Journal of Biomedical and Health Informatics

      [4] Ponrathi Athilingam, Bradlee Jenkins, Marcia Johansson, Miguel Labrador "A Mobile Health Intervention to Improve Self-Care in Patients With Heart Failure: Pilot Randomized Control Trial" in JMIR Cardio 2017, vol. 1, issue 2, pg no:1

      [5] DhafarHamed, Jwan K. Alwan, Mohamed Ibrahim, Mohammad B. Naeem "The Utilisation of Machine Learning Approaches for Medical Data Classification" in Annual Conference on New Trends in Information & Communications Technology Applications - march-2017

      [6] Applying k-Nearest Neighbour in Diagnosing Heart Disease Patients Mai Shouman, Tim Turner, and Rob Stocker International Journal of Information and Education Technology, Vol. 2, No. 3, June 2012

      [7] Amudhavel, J., Padmapriya, S., Nandhini, R., Kavipriya, G., Dhavachelvan, P., Venkatachalapathy, V.S.K., "Recursive ant colony optimization routing in wireless mesh network", (2016) Advances in Intelligent Systems and Computing, 381, pp. 341-351.

      [8] Alapatt, B.P., Kavitha, A., Amudhavel, J., "A novel encryption algorithm for end to end secured fiber optic communication", (2017) International Journal of Pure and Applied Mathematics, 117 (19 Special Issue), pp. 269-275.

      [9] Amudhavel, J., Inbavalli, P., Bhuvaneswari, B., Anandaraj, B., Vengattaraman, T., Premkumar, K., "An effective analysis on harmony search optimization approaches", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2035-2038.

      [10] Amudhavel, J., Kathavate, P., Reddy, L.S.S., Bhuvaneswari Aadharshini, A., "Assessment on authentication mechanisms in distributed system: A case study", (2017) Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 12), pp. 1437-1448.

      [11] Amudhavel, J., Kodeeshwari, C., Premkumar, K., Jaiganesh, S., Rajaguru, D., Vengattatraman, T., Haripriya, R., "Comprehensive analysis on information dissemination protocols in vehicular ad hoc networks", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2058-2061.

      [12] Amudhavel, J., Kathavate, P., Reddy, L.S.S., Satyanarayana, K.V.V., "Effects, challenges, opportunities and analysis on security based cloud resource virtualization", (2017) Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 12), pp. 1458-1463.

      [13] Amudhavel, J., Ilamathi, R., Moganarangan, N., Ravishankar, V., Baskaran, R., Premkumar, K., "Performance analysis in cloud auditing: An analysis of the state-of-the-art", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2043-2046.


 

View

Download

Article ID: 15714
 
DOI: 10.14419/ijet.v7i2.32.15714




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.