Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
Author :
Publisher : Academic Press
Total Pages : 292
Release :
ISBN-10 : 9780128220627
ISBN-13 : 0128220627
Rating : 4/5 (27 Downloads)

Book Synopsis Artificial Intelligence and Big Data Analytics for Smart Healthcare by : Miltiadis Lytras

Download or read book Artificial Intelligence and Big Data Analytics for Smart Healthcare written by Miltiadis Lytras and published by Academic Press. This book was released on 2021-10-22 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers


Artificial Intelligence and Big Data Analytics for Smart Healthcare Related Books

Artificial Intelligence and Big Data Analytics for Smart Healthcare
Language: en
Pages: 292
Authors: Miltiadis Lytras
Categories: Medical
Type: BOOK - Published: 2021-10-22 - Publisher: Academic Press

DOWNLOAD EBOOK

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they striv
Transforming Healthcare with Big Data and AI
Language: en
Pages: 184
Authors: Alex Liu
Categories: Computers
Type: BOOK - Published: 2020-04-01 - Publisher: IAP

DOWNLOAD EBOOK

Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record kee
Artificial Intelligence in Healthcare
Language: en
Pages: 385
Authors: Adam Bohr
Categories: Computers
Type: BOOK - Published: 2020-06-21 - Publisher: Academic Press

DOWNLOAD EBOOK

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of heal
Big Data Analytics and Intelligence
Language: en
Pages: 392
Authors: Poonam Tanwar
Categories: Business & Economics
Type: BOOK - Published: 2020-09-30 - Publisher: Emerald Group Publishing

DOWNLOAD EBOOK

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet
Demystifying Big Data and Machine Learning for Healthcare
Language: en
Pages: 227
Authors: Prashant Natarajan
Categories: Medical
Type: BOOK - Published: 2017-02-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasi