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Focuses on fundamental concepts of gathering, processing, analyzing the dataset from rich healthcare and biomedical sources. Covers interdisciplinary techniques such as data science, deep learning, statistics, big data analytics, smart devices, computer vision and IoT.
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The book examines the unique challenges and opportunities that emerged because of the pandemic. It provides a comprehensive roadmap for... Læs mere
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This book is a practical guide to navigating healthcare for autistic adults. It will help people... Læs mere
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A critically acclaimed reckoning with the birth of women’s healthcare that illuminates the sacrifices of a young woman who changed the world only to be forgotten by it - until now.
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This book provides unique multidisciplinary approach for exploring the potential contribution of AI and digital... Læs mere
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This book demonstrates how optimization techniques can solve hospital analytics problems. It covers advanced heuristic,... Læs mere
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The book focuses on developments in AI and IoT integration for smart healthcare, with an emphasis on current methodologies and frameworks for... Læs mere
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This reference text focusses on estimating the performance, cost, and accommodation of the next generation technologies design for IoT, and... Læs mere
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This book takes an interdisciplinary approach covering health care, cognitive computing, and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed.
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The text covers applications, algorithms, and tools of distributed information processing in the healthcare sector. It will serve as an... Læs mere
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This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.