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Deep Learning in Cardiovascular Health -

Deep Learning in Cardiovascular Health

Sustainable Al Approaches for Heart Disease Diagnosis and Treatment
Buch | Hardcover
V, 445 Seiten
2026
Springer International Publishing (Verlag)
978-3-032-12469-2 (ISBN)
CHF 299,55 inkl. MwSt
  • Noch nicht erschienen - erscheint am 10.04.2026
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This book showcases the most recent developments in the application of artificial intelligence to cardiology and medical imaging, with an emphasis on precise diagnosis, early prediction, and patient-centered care. In order to overcome clinical data ambiguity and enhance confidence in automated systems, it presents innovative frameworks that combine deep learning, fuzzy graph neural networks, metaheuristic optimization, and explainable AI. This book bridges the gap between state-of-the-art research and practical healthcare applications by covering a wide range of techniques, including CNNs, RNNs, residual networks, federated learning, and multimodal learning. As a research reference and a manual for implementing AI-driven healthcare solutions, it provides useful tools, datasets, and methodologies that foster innovation in precision medicine and medical decision-making. It is designed for researchers, clinicians, and students.

Introduction to Artificial Intelligence in Heart Disease Diagnostics.- Bridging Healthcare Gaps: Machine Learning Solutions for Cardiovascular Disease in Low Resource Settings.- Enhanced Cardiovascular Disease Prediction Using Machine Learning and Deep Learning Models with Optimized Feature Selection Techniques.- Effect of Metaheuristic Feature Selection Techniques for Cardiovascular Health.- FCVD ResNet An Interpretable Deep Residual Network for Cardiovascular Disease Risk Prediction.

Erscheint lt. Verlag 10.4.2026
Reihe/Serie Information Systems Engineering and Management
Zusatzinfo V, 445 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik
Schlagworte Advanced ML Techniques for Heart Health • AI-enhanced Heart Disease Treatment Solutions • Computational Intelligence • Deep Learning and Cardiovascular Wellness • Deep Learning Cardiovascular Health Application • Deep Learning Models for ECG Analysis • Healthcare AI for Cardiovascular Diagnosis • Integrating AI into Cardiovascular Care • Sustainable Deep Learning in Healthcare
ISBN-10 3-032-12469-7 / 3032124697
ISBN-13 978-3-032-12469-2 / 9783032124692
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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