Smart Healthcare Analytics: State of the Art (Intelligent Systems Reference Library)

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Smart Healthcare Analytics: State of the Art (Intelligent Systems Reference Library)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
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  • 製本 Hardcover:ハードカバー版/ページ数 220 p.
  • 言語 ENG
  • 商品コード 9789811653032
  • DDC分類 362.10285

Full Description

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Contents

Smart Healthcare Analytics in IoT enabled Environment: An overview.- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia.- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques.- Resource Management Challenges in IoT based healthcare system.- A Comprehensive and Analytical Study of Smart Healthcare with IoT.- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products.- Study and Impact Analysis of  Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data.- A Review of Flying Robot Applications in Healthcare.- Application of Deep Learning  in Biomedical Informatics and Healthcare.- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis.- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence.- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare.- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee.- Ranking of  SARS-CoV-2 Vaccines with reference to India.- RFID based Patient Billing Automation Using Internet of Things (IoT).

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