Verkauf durch Sack Fachmedien

Pattnaik / Vaidya / Hol

Smart Healthcare Analytics: State of the Art

Medium: Buch
ISBN: 978-981-16-5303-2
Verlag: Springer Nature Singapore
Erscheinungstermin: 01.10.2021
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9789811653032
  • Medium: Buch
  • ISBN: 978-981-16-5303-2
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 01.10.2021
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Intelligent Systems Reference Library
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 524 g
  • Seiten: 220
  • Format (B x H x T): 160 x 241 x 19 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Pattnaik, Prasant Kumar

Vaidya, Ashlesha

Hol, Ana

Mohanty, Suneeta

Mohanty, Satarupa

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).