Cardiovascular Disease Prediction Using Machine Learning
DOI:
https://doi.org/10.32628/CSEIT20659Keywords:
Logistic Regression, Support Vector Machine, Naive Bayes, Random ForestAbstract
Heart-related diseases or Cardiovascular Diseases (CVDs) are the most common and main reasons for a huge number of deaths in the world, not only in India but in the whole world. So, there is a need for a reliable, accurate, and feasible system to diagnose such diseases in time for proper treatment. This research paper represents the various models based on such algorithms and techniques to analyze their performance. Such as Logistic Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Naive Bayes, Random Forest, and ensemble models which are Supervised Learning algorithms. Using various important features that are necessary for the prediction of CVDs (like a person is having CVDs or not), which we will further discuss in this paper.
References
- Benan AKCA Prediction and analysis of Heart Disease using Machine Learning Algorithms (2019), Ph.D. Student at Marmara University İstanbul, Istanbul, Turkey. Link https://www.kaggle.com/benanakca/comparison-of-classification-disease-prediction
- Svetlana Ulianova, Prediction and analysis of Heart Disease using Machine Learning Algorithms(2019), Data Science Student at Ryerson University Toronto, Ontario, Canada. Link https://www.kaggle.com/sulianova/eda-cardiovascular-data
- Rajesh N, T Maneesha, Shaik Hafeez, Hari Krishna Prediction and analysis of Heart Disease using Machine Learning in International Journal of Engineering & Technology, 7 (2.32) (2018) 363-366.
- V.V. Ramalingam*, Ayantan Dandapath, M Karthik Raja Prediction of Heart Disease using Machine Learning Algorithms: A Survey in International Journal of Engineering & Technology, 7 (2.8) (2018) 684-687
- Mohie Eldin Prediction and analysis of Heart Disease using Machine Learning Algorithms(2020), Computer Science student at Cairo University Cairo, Cairo Governorate, Egypt
- Amita Malav, Kalyani Kadam, “A Hybrid Approach for Heart Disease Prediction Using Artificial Neural Network and K - Means”, International Journal of Pure and Applied Mathematics 2018.
- Amanda H. Gonsalves, Fadi Thabtah, Gurpreet Singh, Rami Mustafa A Mohammad Prediction of Heart Disease using Machine Learning Algorithms: An Experimental analysis in ResearchGate February 2020.
- M.Nikhil Kumar, K.V.S Koushik, K.Deepak Department of CSE, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India Prediction Heart Diseases using Data mining and machine learning algorithms and tools. (2018)
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.