A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques

A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques

Abstract This research proposes a novel framework for enhancing heart disease prediction using a hybrid approach that integrates classical and quantum-inspired machine learning techniques. The framework leverages a combined dataset comprising Cleveland, Hungarian, Switzerland, Long Beach, and Statlo...

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Bibliographic Details
Main Authors: Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Machine learning
Arrhythmia classification
Particle swarm optimization
Feature selection
Pearson’s correlation coefficient
Online Access:https://doi.org/10.1038/s41598-025-09957-1
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https://doi.org/10.1038/s41598-025-09957-1

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