What question did this study set out to answer?

April 8, 2026Open Access

An Intelligent AI-Driven Framework for Early Prediction of Heart Disease Using Advanced Machine Learning Techniques

View Full Paper

Ask AI

Bookmark

Authors

An intelligent AI framework predicts heart disease early, enhancing patient care and diagnosis accuracy.

The central aim is to develop a framework for early prediction of heart disease using advanced AI techniques.
Developed an AI-driven framework for predicting heart disease.
Utilized various classification algorithms like Logistic Regression, Random Forest, SVM, and ANN.
Incorporated data preprocessing and feature selection techniques.
Evaluated the system on a publicly available dataset with multiple patient attributes.
The proposed framework outperformed traditional diagnostic methods.
Achieved high performance metrics including accuracy, precision, recall, and F1-score.
Demonstrated reliability and efficiency in early heart disease detection.

Akshata et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

April 8, 2026Open Access

View Full Paper

Ask AI

Bookmark

Authors

An intelligent AI framework predicts heart disease early, enhancing patient care and diagnosis accuracy.

The central aim is to develop a framework for early prediction of heart disease using advanced AI techniques.
Developed an AI-driven framework for predicting heart disease.
Utilized various classification algorithms like Logistic Regression, Random Forest, SVM, and ANN.
Incorporated data preprocessing and feature selection techniques.
Evaluated the system on a publicly available dataset with multiple patient attributes.
The proposed framework outperformed traditional diagnostic methods.
Achieved high performance metrics including accuracy, precision, recall, and F1-score.
Demonstrated reliability and efficiency in early heart disease detection.

Akshata et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark