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For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured.
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The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in... Læs mere
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This essential book reviews how digital health ventures can be integrated with more traditional techniques to revolutionize the healthcare system.
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The book is a collection of research papers presented at the First International Conference on International Conference on Ambient... Læs mere
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Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches.
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The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare.
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This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2021 held at Surabaya, Indonesia, virtually.
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This book provides a detailed guide to the highly specialised but little known health information workforce - people who are health informaticians, digital health experts, and managers of health data, health information and health knowledge.
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In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery.
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This book is about IoT and AI-based health solutions that are transforming medical diagnosis and disease prediction. This... Læs mere
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Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging.