HybridHeartClassifier is an advanced R-based framework for heart disease classification and prediction, integrating statistical and machine learning approaches.
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Updated
Dec 11, 2024 - R
HybridHeartClassifier is an advanced R-based framework for heart disease classification and prediction, integrating statistical and machine learning approaches.
This web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.
Training a random forest model to predict heart disease risk in R.
In this project, we try to find a good model to predict heart disease.
Heart disease prediction using Naive Bayes classifier
Using Single Cell Transcriptomics to Analyze how COVID Effects our Heart
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