Prediction of Heart Disease using Biomedical Data through Machine Learning Techniques

Lutimath, Nagaraj and Sharma, Neha and K, Byregowda (2021) Prediction of Heart Disease using Biomedical Data through Machine Learning Techniques. EAI Endorsed Transactions on Pervasive Health and Technology.

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Abstract

INTRODUCTION: Random Forests are an important model in machine learning. They are simple and very effective classification approach. The random forest identifies the most important features of a given problem.

OBJECTIVES: The heart disease is cardiovascular disease, with a set

Item Type: Article
Date Deposited: 04 Mar 2026 14:49
Last Modified: 17 Apr 2026 08:03
URI: http://eprints.eai.eu/id/eprint/36625

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