A Study and Review on implementation of Machine Learning Techniques & Data Mining in the Domain of Heart Disease Prediction
Author(s):
Rajesh Rahangdale, Kranti Kumar Dewangan
Keywords:
Heart Disease Prediction, Data Mining, Machine Learning Algorithms, Random Forest, Decision Tree, Support Vector Machine, Naïve Bayse
Abstract
Heart disease, which is otherwise called cardiovascular sickness, encases various circumstances that impact the heart and is the essential premise of death worldwide over the range of the most recent couple of many years. It partners many gamble factors in coronary illness and a need of an opportunity to get exact, dependable, and reasonable ways to deal with make an early finding to accomplish brief administration of the sickness. Information mining is a usually involved procedure for handling tremendous information in the medical services area. Scientists apply a few information mining and AI strategies to investigations enormous complex clinical information, helping medical care experts to anticipate Heart disease.
Article Details
Unique Paper ID: 154849

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 553 - 556
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