Why the study?
Investigating the multiple risk factors for coronary artery disease is difficult and time-consuming, necessitating modern approaches for early diagnosis to reduce mortality.
Population
An IHD dataset
Comparison
FCQ-CNN vs classical Optimized-CNN, FCNN, and earlier published quantum models
Design
Machine learning model development and validation study
Authors
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Should not yet change practice; leaves open prospective validation of quantum CNNs for ischemic heart disease.
A novel quantum convolutional neural network demonstrates improved accuracy for classifying ischemic heart disease compared to classical and previous quantum models.
Ullah et al. (2022) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: