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Published by Taylor & Francis Ltd, 2024
ISBN 10: 103214582X ISBN 13: 9781032145822
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 421.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032162511 ISBN 13: 9781032162515
Language: English
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. 1st edition NO-PA16APR2015-KAP.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103214582X ISBN 13: 9781032145822
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis. It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today's betterment compared to previous development in the technology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Add to basketCondition: New. pages cm First edition Includes bibliographical references and index.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware - This book aims at providing theoretical knowledge in the application of swarm intelligence and evolutionary computation including several recent meta-heuristic algorithms and also providing practical emerging applications in machine learning and deep learning.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 218 pages. 9.18x6.12x9.21 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 228 pages. 9.18x6.12x9.21 inches. In Stock.
Published by LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659680788 ISBN 13: 9783659680786
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103214582X ISBN 13: 9781032145822
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
£ 76.56
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Add to basketPaperback. Condition: new. Paperback. Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis. It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today's betterment compared to previous development in the technology. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103214582X ISBN 13: 9781032145822
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
£ 67.27
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Add to basketPaperback. Condition: new. Paperback. Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis. It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today's betterment compared to previous development in the technology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032162503 ISBN 13: 9781032162508
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
Seller: Books Puddle, New York, NY, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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