HEART DISEASE PREDICTION BASED ON MACHINE LEARNING TECHNIQUES
Author(s):
G. Chakravarthi, S.MD. Jabeer
Keywords:
Heart diseases, Machine learning, Deep learning, Health care, Heart disease dataset
Abstract
The latest statistics of the World Health Organization anticipated that cardiovascular diseases including Coronary Heart Disease, Heart attack, vascular disease as the biggest pandemic to the world due to which one-third of the world population would die. With the emerging AI trends, applying an optimal machine learning model to target early detection and accurate prediction of heart disease is indispensable to bring down the mortality rates and to treat cardiac patients with the best clinical decision support. This stems from the motivation of this paper. This paper presents a comprehensive survey on heart disease prediction models derived and validated out of popular heart disease datasets like the Cleveland dataset. The main keywords for the search were Heart Disease, Prediction, Coronary disease, Healthcare, Heart datasets, and Machine Learning. Results: This review explores the shortcomings of various approaches used for the prediction of heart diseases. It outlines the pros and cons of different research methodologies along with the validation parameters of each reviewed publication
Article Details
Unique Paper ID: 153294

Publication Volume & Issue: Volume 8, Issue 6

Page(s): 334 - 339
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies