04388nam 22006375 450 991048313120332120200701002005.03-662-61114-710.1007/978-3-662-61114-2(CKB)4100000010770848(MiAaPQ)EBC6303106(DE-He213)978-3-662-61114-2(PPN)243225792(EXLCZ)99410000001077084820200323d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Computational Intelligence in Healthcare-7 Biomedical Informatics /edited by Ilias Maglogiannis, Sheryl Brahnam, Lakhmi C. Jain1st ed. 2020.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2020.1 online resource (xii, 160 pages) illustrationsStudies in Computational Intelligence,1860-949X ;8913-662-61112-0 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.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.Studies in Computational Intelligence,1860-949X ;891Computational intelligenceArtificial intelligenceBiomedical engineeringHealth informaticsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XHealth Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Computational intelligence.Artificial intelligence.Biomedical engineering.Health informatics.Computational Intelligence.Artificial Intelligence.Biomedical Engineering and Bioengineering.Health Informatics.610.28563Maglogiannis Iliasedthttp://id.loc.gov/vocabulary/relators/edtBrahnam Sheryledthttp://id.loc.gov/vocabulary/relators/edtJain Lakhmi Cedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483131203321Advanced Computational Intelligence in Healthcare-72102096UNINA