Advanced Computational Intelligence in Healthcare-7 : Biomedical Informatics

Ilias Maglogiannis

ISBN 10: 3662611120 / ISBN 13: 9783662611128

Published by Springer Berlin Heidelberg, 2020

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveysand practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics,computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction of new intelligentparadigms in the security and privacy domains, which are critical for the health sector. The chapters, while of course not exhaustively addressing all the possible aspects of the aforementioned areas,are indicative of the dynamic nature of interdisciplinary research being pursued. Accordingly, the book is intended not only for researchers in the respective fields, but also for medical andadministrative personnel working in the health sector, as well as managers and stakeholders responsible for making strategic decisions and defining public health policies.

Seller Inventory # 9783662611128

Bibliographic Details

• Title: Advanced Computational Intelligence in Healthcare-7 : Biomedical Informatics
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2020
• Language: English
• ISBN 10: 3662611120
• ISBN 13: 9783662611128
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 16D millimeters 241 millimeters width by 160 millimeters height by 16 millimeters depth
• Weight: 436 grams

About this title

Synopsis

This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction of new intelligent paradigms in the security and privacy domains, which are critical for the health sector. The chapters, while of course not exhaustively addressing all the possible aspects of the aforementioned areas, are indicative of the dynamic nature of interdisciplinary research being pursued. Accordingly, the book is intended not only for researchers in the respective fields, but also for medical and administrative personnel working in the health sector, as well as managers and stakeholders responsible for making strategic decisions and defining public health policies.