Heart Disease Prediction using Effective Machine Learning Techniques

Author(s)	Dr. Manjunatha S, Dr. Bharani B R, Dr. Preethi S, Prof. Vijayalakshmi R Y
Country	India
Abstract	In today’s era deaths due to heart disease has become a major issue approximately one person dies per minute due to heart disease. This is considering both male and female category and this ratio may vary according to the region also this ratio is considered for the people of age group 25-69. This does not indicate that the people with other age group will not be affected by heart diseases. This problem may start in early age group also and predict the cause and disease is a major challenge nowadays. Here in this paper, we have discussed various algorithms and tools used for prediction of heart diseases.
Keywords	Classification, Heart Disease, Decision Tree, Logistic Regression, Random Forest.
Field	Engineering
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-13
Cite This	Heart Disease Prediction using Effective Machine Learning Techniques - Dr. Manjunatha S, Dr. Bharani B R, Dr. Preethi S, Prof. Vijayalakshmi R Y - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.17179
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.17179
Short DOI	https://doi.org/gtqxrr

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research