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This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.
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This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. Methods include thorough case studies from statistics,... Læs mere
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This open access book offers a detailed account of a range of mHealth initiatives across South, Southeast and East Asia. The... Læs mere
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Advancements in AI and Computer Vision are revolutionizing medical diagnostics by enabling real-time analysis of vast data. This book focuses on ML algorithms that analyze medical data and predict diseases based on key features.
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This book explores current research and development in the area of digital healthcare using recent technologies such as data science and artificial intelligence.
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This book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics.
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This open acess book explores practices of personalisation across the domains of digital culture, healthcare and data science, and argues that they re-articulate relations between economy, politics and culture.
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This essential resource provides numerous tried-and-tested practical activities to empower healthcare professionals to enable evidence-based practice in healthcare settings.
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This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the... Læs mere
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This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-24), held in Madeira, Portugal, on June 19–21, 2024.
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The topics covered in this volume are data mining, patient electronic health records, healthcare portals, telemedicine, automatic... Læs mere
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