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E-grāmata: Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics [Taylor & Francis e-book]

Edited by (Amity University, Noida), Edited by (, Jamia Millia Islamia University), Edited by (IEC, Ghaziabad), Edited by (Atos Consulting), Edited by (CHRIST (Deemed to be University))
  • Formāts: 280 pages, 51 Tables, black and white; 58 Line drawings, black and white; 12 Halftones, black and white; 70 Illustrations, black and white
  • Sērija : Artificial Intelligence in Smart Healthcare Systems
  • Izdošanas datums: 08-Aug-2022
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003217107
Citas grāmatas par šo tēmu:
  • Taylor & Francis e-book
  • Cena: 235,68 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 336,68 €
  • Ietaupiet 30%
Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health InformaticsPalielināt
  • Formāts: 280 pages, 51 Tables, black and white; 58 Line drawings, black and white; 12 Halftones, black and white; 70 Illustrations, black and white
  • Sērija : Artificial Intelligence in Smart Healthcare Systems
  • Izdošanas datums: 08-Aug-2022
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003217107
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003217107
Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services.

This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.
Editor Biographies ix
List of Contributors
xi
Chapter 1 Telemedicine (e-Health, m-Health): Requirements, Challenges and Applications
1(26)
Maupama Nandan
Soma Mitra
Antara Parai
Rituraj Jain
Meena Agrawal
Umesh Kumar Singh
Chapter 2 Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021)
27(18)
Charles Roberto Telles
Ahmad Mohammad Ayaz
Syed Khalid Mustafa
Archisman Roy
Mohammad RehanAjmal
Elisandro Pires Frigo
Chapter 3 Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare
45(32)
Neha P. Sathe
Anil Hiwale
Archana Ranade
Chapter 4 Emerging Disruptive Technologies and Their Impact on Health Informatics
77(18)
Venkatesh Krishna Murthy
Chapter 5 Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions
95(14)
Sushant Bhargava
Chapter 6 A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics
109(22)
Dhanashri H. Gawali
Vijay M. Wadhai
Minakshee Patil
Akshita S. Chanchlani
Chapter 7 Recent Trends in Wearable Technologies, Challenges and Opportunities
131(14)
S. Kannadhasan
R. Nagarajan
Chapter 8 Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques
145(12)
Minakshee Patil
Vijay M. Wadhai
Dhanashri H. Gawali
Akshita S. Chanchlani
Chapter 9 Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm
157(16)
Shampa Sengupta
Kumud Ranjan Pal
Vivek Gang
Chapter 10 Blockchain for the Healthcare Sector: Application and Challenges
173(16)
Richi Chhabra
Mohammad Shahnawaz Nasir
Khalid All Qidwai
Mohammad ShabbirAlam
Chapter 11 Blockchain-Enabled Secured Medical Supply Chain Management
189(22)
Anuj Tripathi
Vivek Garg
Binu Kuriakose Vargis
Chaitanya P. Agrawal
Chapter 12 Big Data in Healthcare: Technological Implications and Challenges
211(18)
Sushant Kumar Vishnoi
Naveen Virmani
Divya Pant
Ankit Garg
Chapter 13 An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques
229(16)
Akshita S. Chanchlani
Vilas M. Thakare
Vijay M. Wadhai
Dhanashri H. Gawali
Minakshee Patil
Chapter 14 A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction
245(10)
Saumya Satija
Mohd Tajuddin
Meena Agrawal
Chapter 15 Designing a Rough-PSO-Based COVID-19 Prediction Model
255(14)
Shampa Sengupta
Sourik Pyne
Sangya Chattopadhyay
Chapter 16 Transitions in Machine Learning Approaches for Healthcare-Sector Applications
269(8)
Juli Kumari
Deepak Kumar
Ela Kumar
Index 277
Teena Bagga, Amirul Hasan Ansari
Permanent link: https://www.kriso.lv/db/9781003217107_pe.html
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