Advanced Computational Intelligence in Healthcare-7

Biomedical Informatics
1. Auflage 2020
ISBN: 978-3-662-61112-8
Verlag: Springer

Buch, Englisch, 161 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 436 g

Reihe: Advanced computational intelligence paradigms in healthcare

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.

Zielgruppe

Research

Autoren/Hrsg.

Maglogiannis, Ilias

Jain, Lakhmi C.

Brahnam, Sheryl

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Human-Machine Interfaces for Motor Rehabilitation.- Passive Emotion Recognition Using Smartphone Sensing Data.- Intelligent and Immersive Visual Analytics of Health Data.- Interactive Key Process Indicators for obesity modelling using Process Mining.- Recent Machine Learning Approaches for single-cell RNA-seq data analysis.- A review on state-of-the-art computer-based approaches for the early recognition of malignant melanoma.- Cardiovascular Disease Stratification based on ultrasound images of the carotid artery.- Forecasting and Prevention mechanisms using Social Media in Healthcare.- Security and Privacy Issues for Intelligent Cloud-based Health Systems.