Published on: April 2026
HEART DISEASE PREDICTION USING ML
G.Sathwika D.Abhinay Reddy C.Shirin K.Charan Goud
Dr.P.Ashok Kumar
Department of CSE (Data Science) ACE Engineering College Hyderabad Telangana India
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Abstract
In this paper, a machine learning model will be developed, which predicts the risk level of suffering from a heart disease based on various parameters such as age, blood pressure, cholesterol, blood sugar, heart rate, family history and diet of the patients. The algorithms used include decision tree and support vector machine (SVM).
It will provide timely prediction of results due to its simplicity and speed.
How to Cite this Paper
G.Sathwika, , Reddy, D., C.Shirin, & Goud, K. (2026). Heart Disease Prediction Using Ml. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.207
G.Sathwika, , et al.. "Heart Disease Prediction Using Ml." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.207.
G.Sathwika, ,D.Abhinay Reddy, C.Shirin, and K.Charan Goud. "Heart Disease Prediction Using Ml." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.207.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 11 2026
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