Machine Learning and IoT Applications for Health Informatics

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Machine Learning and IoT Applications for Health Informatics

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  • 製本 Hardcover:ハードカバー版/ページ数 242 p.
  • 言語 ENG
  • 商品コード 9781032544502
  • DDC分類 610.285

Full Description

This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments.

Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics.

Contents

Preface. Machine Learning and the Role of IoT in Health Informatics. Bioconductor Packages to Perform Tensor Decomposition Based Unsupervised Feature Extraction. Smart Health: Advancements in Machine Learning and the Internet of Things Solutions. A Study Aimed at Presenting Methodologies for Enhancing Cost Efficiency in Healthcare Systems Based on Internet of Things (IoT)by Incorporating Sophisticated Deep Learning and Artificial Intelligence Techniques. Transforming Healthcare through Machine Learning and the Internet of Things. IoT-powered AI for Precise Pneumonia Detection in Chest X-Rays. Tensor Decomposition in Genomics. IoT, Artificial Intelligence and Cyber Security: The ParadigmsFraming the Future of Digital Healthcare. Integrating IoT, Analytics and Deep Learning in ECG for Cardiovascular care. Transfer Learning for Multiclass Classification of Bone Marrow Cells. Machine Learning, Deep Learning and IoT in Smart Healthcare for Retinal Diseases Management. Index.

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