MACHINE LEARNING TECHNIQUES FOR HEART DISEASE PREDICTION

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

The advent of biometric recognition technologies has significantly influenced mobile engagement across various industries, enhancing both security and user experience. Among the most prominent biometric modalities, face and iris recognition have gained substantial traction for their ability to provide reliable, seamless, and secure identification. This article explores the applications, technological advancements, challenges, and the future potential of face and iris recognition in mobile engagement, particularly focusing on their role in improving user authentication, personalizing services, and addressing privacy concerns.

References

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Keywords

Healthcare Analytics, Clinical Data Risk Assessment, Heart Disease Prediction, Decision Trees, Random Forests.