Effective Heart disease prediction framework using Random Forest and Logistic regression

Author:

Naveen Soumyalatha1,Ravindran Sreya Karipody2,G Shreya2,Ameen S. Nuzhath2

Affiliation:

1. School of Computer Science and Engineering,Bangalore,Karnataka

2. School of Electronics and Communication Engineering, REVA University,Bangalore,Karnataka

Publisher

IEEE

Reference20 articles.

1. Heart disease prediction using machine learning techniques;apurv;IOP Conference Series: Materials Science and Engineering,2021

2. An analysis of heart disease prediction using different data mining techniques;nidhi;International journal of engineering,2012

3. Heart Disease Prediction Using Logistic Regression;kavya;J Coast Life Med,2023

4. Heart Disease Prediction using Hybrid machine Learning Model

5. Heart disease prediction system using random forest;singh;Advances in Computing and Data Sciences First International Conference ICACDS 2016,2016

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1. Enhancing Heart Disease Prediction and Analysis: An Efficient Voting Ensemble model;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

2. Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare;Chemical Reviews;2024-01-04

3. A study of Cardiovascular disease Risk factors using ML techniques;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

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