Applied Ai and Computational Intelligence in Diagnostics and Decision-making
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Majestic Books, Hounslow, United Kingdom
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798337333120
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making (Paperback)
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Paperback. Condition: new. Paperback. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337333120
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9798337333113
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337333120
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making (Hardcover)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Hardcover. Condition: new. Hardcover. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337333113
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Applied Ai and Computational Intelligence in Diagnostics and Decision-making
ISBN 10: 833733312X
ISBN 13: 9788337333121
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making (Hardcover)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337333113
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Applied Ai and Computational Intelligence in Diagnostics and Decision-making
ISBN 10: 833733312X
ISBN 13: 9788337333121
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Seller: Majestic Books, Hounslow, United Kingdom
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Applied AI and Computational Intelligence in Diagnostics and Decision-Making (Paperback)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condition: new. Paperback. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798337333120
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Applied Ai and Computational Intelligence in Diagnostics and Decision-making
ISBN 10: 833733312X
ISBN 13: 9788337333121
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Condition: New. Seller Inventory # 18405033184
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