Current Volume 9
Abstract
Heart disease is one of the leading causes of death across the world, making early diagnosis and prediction extremely important in modern healthcare systems. Traditional medical diagnosis methods often require continuous monitoring, laboratory testing, and expert analysis, which may consume considerable time and resources. With the rapid growth of Artificial Intelligence and Machine Learning technologies, intelligent healthcare systems are becoming more effective in supporting medical professionals during disease prediction and diagnosis. This research presents a Machine Learning-based Predictive Healthcare System for early heart disease detection using patient healthcare data. The proposed system uses different machine learning algorithms including Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine to analyze medical parameters such as age, blood pressure, cholesterol level, heart rate, fasting blood sugar, and chest pain type. The primary objective of the system is to improve prediction accuracy and assist healthcare professionals in making faster and more reliable decisions. The proposed methodology includes data preprocessing, feature selection, model training, testing, and performance evaluation using the UCI Heart Disease Dataset. Experimental analysis demonstrates that Machine Learning techniques can significantly improve healthcare prediction systems. Among all implemented algorithms, Random Forest achieved the highest prediction accuracy. The proposed system can help reduce human error, support early diagnosis, and contribute toward intelligent healthcare solutions.
Keywords
Machine Learning, Healthcare, Heart Disease Prediction, Artificial Intelligence, Predictive Analytics, Random Forest, Medical Diagnosis
Citations
IRE Journals:
Satyam Kashyap, Shalini Shrotriya "Machine Learning-Based Predictive Healthcare System for Early Heart Disease Detection" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1217-1223 https://doi.org/10.64388/IREV9I11-1717708
IEEE:
Satyam Kashyap, Shalini Shrotriya
"Machine Learning-Based Predictive Healthcare System for Early Heart Disease Detection" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717708
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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