Cardiovascular disease remains a major global health challenge, causing millions of deaths each year and imposing substantial healthcare costs. Early, accurate diagnosis is critical for improving outcomes and enabling timely intervention.
While conventional machine learning has shown promise in disease prediction, it often struggles with highly complex and nonlinear clinical data.
A research group from the College of Engineering and Computer Science at Florida Atlantic University, led by Arslan Munir, Ph.D., professor in FAU's Department of Electrical Engineering and Computer Science and director of the Intelligent Systems, Computer Architecture, Analytics, and Security (ISCAAS) Laboratory, have developed a novel quantum machine learning framework that significantly improves heart disease prediction, achieving more than 90% accuracy.
The study, published in the MDPI AI Journal (impact factor of 6.5), presents a comprehensive evaluation of quantum feature mapping and quantum classification techniques for heart disease prediction, and demonstrates the potential of quantum machine learning to enhance healthcare analytics and clinical decision support systems.
Using clinical data from 918 patients, the research group evaluated systematically five quantum feature mapping techniques and four quantum machine learning classifiers to identify the most effective approach for heart disease diagnosis. The best-performing model, a Quantum Support Vector Machine using Angle Encoding, achieved 90.26% accuracy, 92.16% sensitivity, 83.42% specificity, and an AUC of 0.93, highlighting its potential for accurate heart disease prediction.
"Our research demonstrates that quantum machine learning can serve as a powerful new paradigm for healthcare analytics," said Munir. "By leveraging quantum feature representations and quantum-enhanced classifiers, we can model intricate relationships within clinical data more effectively, enabling highly accurate prediction of heart disease. As quantum technologies continue to mature, they have the potential to transform how we diagnose diseases, personalize treatments, and support clinical decision-making."
The study provides evidence that quantum-enhanced models can deliver highly accurate predictions while maintaining computational efficiency through carefully designed quantum feature maps and shallow quantum circuits.
"This work illustrates the growing potential of quantum computing to contribute to advances in healthcare, and medicine," said Stella Batalama, Ph.D., dean of the College of Engineering and Computer Science. "Florida Atlantic University is making important investments in quantum computing infrastructure, and the College of Engineering and Computer Science is complementing those investments by building faculty expertise and research capacity in this emerging area. Dr. Munir's work is an excellent example of how our faculty are exploring the intersection of quantum computing, AI and healthcare. This research also reflects FAU's broader commitment to building strength in quantum-enabled research and education."
Conducted through Munir's ISCAAS Laboratory, the work contributes to ongoing efforts to develop practical applications of quantum technologies in healthcare, cybersecurity, smart infrastructure, autonomous systems, and scientific computing.
The publication also complements FAU's broader investments in expanding our quantum computing ecosystem, industry collaborations, and initiatives focused on preparing students and researchers for the next generation of computing technologies.
As governments, industry, and research institutions worldwide invest heavily in quantum technologies, healthcare has emerged as one of the most promising application domains. Quantum-enhanced diagnostic systems could eventually help physicians analyze increasingly complex medical datasets, identify disease risks earlier, and support personalized treatment planning.
"Quantum computing is transitioning from theoretical promise to practical innovation, and healthcare represents one of the most impactful application areas where quantum machine learning can make a difference," said Munir. "Our work provides evidence that quantum approaches can already deliver meaningful results and lays the foundation for future clinical applications powered by next-generation quantum technologies."
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About FAU's College of Engineering and Computer Science:
The FAU College of Engineering and Computer Science is internationally recognized for innovative research and education in the areas of computer science and artificial intelligence (AI), computer engineering, electrical engineering, biomedical engineering, civil, environmental and geomatics engineering, mechanical engineering, and ocean engineering. Research conducted by the faculty and their teams expose students to technology innovations that push the current state-of-the art of the disciplines. The College research efforts are supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Department of Defense (DOD), the Department of Transportation (DOT), the Department of Education (DOEd), the State of Florida, and industry. The FAU College of Engineering and Computer Science offers degrees with a modern twist that bear specializations in areas of national priority such as AI, cybersecurity, internet-of-things, transportation and supply chain management, and data science. New degree programs include Master of Science in AI (first in Florida), Master of Science and Bachelor in Data Science and Analytics, and the new Professional Master of Science and Ph.D. in computer science for working professionals. For more information about the College, please visit eng.fau.edu.
About Florida Atlantic University:
Florida Atlantic University is one of the nation's fastest-rising public research universities, serving more than 32,000 students in South Florida. Ranked among the Top 100 Public Universities by U.S. News & World Report, recognized as a Top 25 Best-In-Class College, and cited by Washington Monthly as one of the nation's most effective engines of upward mobility, Florida Atlantic is also one of only 13 institutions nationwide to hold Carnegie Foundation designations for R1 research, opportunity and community engagement. Guided by its strategic plan, "2031FAU: Where Tomorrow Begins," the university is focused on delivering career-ready education and experiential learning, driving scholarly inquiry that creates healthier, safer and more prosperous communities, strengthening institutional excellence, and elevating its impact across South Florida and beyond. Florida Atlantic continues to advance its position as Florida's first quantum university, integrating research, education and industry partnerships around next-generation computing technologies. Through other signature strengths in neuroscience and healthy aging, environmental, ocean and coastal innovation, and national defense and autonomous systems, Florida Atlantic expands knowledge, fuels economic opportunity and fulfills its mission as South Florida's hometown university.