DOI:10.20894/IJCOA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.079 & GIF:0.416
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

Paper Template
Copyright Form
Subscription Form
web counter
web counter

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJCOA provides online manuscript tracking system.

Every issue of Journal of IJCOA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJCOA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJCOA website. For complete procedure, contact us at admin@iirgroups.org

SCIA Journal Metrics


SCIA-GRAPH
SCIA-SAI
Published in:   Vol. 12 Issue 1 Date of Publication:   June 2023
Page(s):    Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA.101.012.001.003 SAI :

Cardiovascular disease is a very serious concern in recent times, not only in people of an older age group but also in youth. Consumption of Alcohol, smoking , high cholesterol , high blood pressure, and stress are all causes that leads to cardiovascular disease. Prediction of heart disease has always been a tough job for medical practitioners and heavy on the pockets of individuals. So detecting heart disease at an early stage will help people take the correct measures to prevent any further consequences . In the past couple of years, machine learning has helped many people save their lives by determining heart disease at an early stage with the help of many available health care data sets . Listed are some of the machine learning frameworks: C4.5 algorithm, artificial neural network (ANN) , Support Vector Machine (SVM) , decision tree (DT), Classification Multiple Association Rules (CMAR) , Bayesian Classifiers.