IEEE

IoT-Enabled Heart Disease Risk Prediction Using Machine Learning Algorithms: A Comparative Analysis of ML Models

Abstract: This Study will explore how the IoT and machine learning predict heart disease risks through real-time wearable device and sensor data. The Cleveland and Hungarian datasets have relevant ...
GitHub

Issues: thyagarajank/Cattle-disease-prediction-using-Machine-Learning

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GitHub

NandishDPatel/ML-Heart_Disease_Prediction

Range of conditions that affect a person’s heart are termed coronary heart diseases (CHDs). In modern times, CHDs are one of the major causes of death worldwide with estimates of around 17.9 million ...
IEEE

Heart Disease Prediction Using Machine Learning: A Systematic Literature Review

Abstract: Heart disease, categorized as a cardiovascular condition, stands as a prominent factor in worldwide mortality, accounting for approximately 32% of all deaths globally. It manifests when the ...
Scientific Research Publishing

Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System ()

1 Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology (RUET), Rajshahi, Bangladesh. 2 Department of Electrical & Electronic Engineering, American ...