FAU Researchers Use Quantum Machine Learning to Predict Heart Disease
Insider Brief Florida Atlantic University researchers developed a quantum machine learning framework that achieved 90.26% accuracy in predicting heart disease using clinical data from 918 patients. The best-performing model, a Quantum Support Vector Machine using Angle Encoding, recorded 92.16% sensitivity, 83.42% specificity and an AUC of 0.93. The study evaluated five quantum feature mapping techniques … Read more