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Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions (Artificial Intelligence in Smart Healthcare Systems) - Hardcover
- PublisherCRC Press
- Publication date2024
- ISBN 10 1032478411
- ISBN 13 9781032478418
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages224
- EditorPranav Prashant, Patel Archana, Jain Sarika
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Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions
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Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
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Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions
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Machine Learning in Healthcare and Security (Artificial Intelligence in Smart Healthcare Systems)
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Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions
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Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions
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Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
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Machine Learning in Healthcare and Security
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Machine Learning in Healthcare and Security (Artificial Intelligence in Smart Healthcare Systems)
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Machine Learning in Healthcare and Security
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics. 212 pp. Englisch. Seller Inventory # 9781032478418
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