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 (627 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
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 Analysis and Artificial Intelligence for Medical Sciences
Language: en
Pages: 437
Authors: Paola Lecca
Categories: Medical
Type: BOOK - Published: 2024-07-29 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Big Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current state of the art on the use of artificial intelligence in medicine an
Artificial Intelligence in Medicine
Language: en
Pages: 431
Authors: David RiaƱo
Categories: Computers
Type: BOOK - Published: 2019-06-19 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. T
Data Science for Healthcare
Language: en
Pages: 367
Authors: Sergio Consoli
Categories: Computers
Type: BOOK - Published: 2019-02-23 - Publisher: Springer

DOWNLOAD EBOOK

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract ne