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What is Quantum Algorithms for Heart Disease Prediction about?

This chapter discusses the use of quantum computing algorithms for the accurate prediction of heart disease, highlighting the limitations of traditional machine learning methods in handling complex datasets. It outlines a comprehensive methodology that includes data preprocessing, model development, and evaluation, ultimately identifying the Quantum Support Vector Machine (QSVM) as the most effective model with an accuracy of 85%. The proposed system integrates user-friendly features for real-time predictio

Author

Adhithya Offl

Language

EN