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This book provides a comprehensive overview of Japanese Encephalitis (JE), its pathobiology, and associated challenges for treatment and prevention.
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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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A step-by-step guide to the diagnostic workup of 75 of the most common clinical problems in internal medicine. It focuses on the analysis of the presenting signs and... Læs mere
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A collection of insightful case studies from the 1980s showing an integrated approach to patient healthcare from respected holistic practitioners, according to four organ types: heart, kidney, liver and lung.
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Examines the potential impact of a number of specific factors on the voice: general health; vocal history; vocal health; voice care; vocal status; voice genogram; anxiety and... Læs mere
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Furthermore, the book addresses the development of multimodal machine learning models for brain tumor prognosis, the identification of... Læs mere
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This book presents the technological advances in the field of mass spectrometry-based approaches for treating human... Læs mere
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This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic and fractal theory techniques... Læs mere
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With advancements in digital technology, machine learning, and artificial intelligence, the EEG remains central to... Læs mere
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This book is to provide useful information for clinical diagnosis and treatment of shoulder joint diseases, avoid getting lost and falling into the traps of misdiagnosis and mistreatment.