AI-Based Heart Disease Prediction System

Heart disease is a leading cause of death globally, requiring early and accurate detection for effective management. This study proposes an AI-based heart disease prediction system using machine learning algorithms to analyse patient data. Key features influencing heart disease are identified to enhance model accuracy and interpretability. The system, trained on publicly available datasets, achieves high prediction accuracy, demonstrating its potential as a reliable, cost-effective diagnostic tool. Integrating AI into clinical workflows can improve personalized care and patient outcomes. Future work focuses on real-time data integration and advanced AI techniques for further improvement.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14793767
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Based Heart Disease Prediction System

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare
article

AI-Based Heart Disease Prediction System

article en

Abstract

Heart disease is a leading cause of death globally, requiring early and accurate detection for effective management. This study proposes an AI-based heart disease prediction system using machine learning algorithms to analyse patient data. Key features influencing heart disease are identified to enhance model accuracy and interpretability. The system, trained on publicly available datasets, achieves high prediction accuracy, demonstrating its potential as a reliable, cost-effective diagnostic tool. Integrating AI into clinical workflows can improve personalized care and patient outcomes. Future work focuses on real-time data integration and advanced AI techniques for further improvement.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-Based Heart Disease Prediction System · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS