Early detection can help patients take precautions and take regulatory measures. The healthcare industry generates vast amounts of data about patients, making machine learning techniques crucial for analyzing this data. Standardization is performed using the min-max standardization approach, followed by a heuristic approach called MFA to manage large amounts of high-lights and extensive records. An Efficient Heart Disease Prediction System has been proposed using Modified Firefly Algorithm Based Radial Basis Function with Support Vector Machine. This proposed framework planned a changed firefly calculation and Radial Basis Function based Support Vector Machine Some of the most important pieces of patient information that may be found in these areas include: demographics, medical history, allergies, complaints, family history, complaints, statistics, opinions, and test results. The input dataset for this method has three types of attributes: input, key, and prediction.