Guest editorial trustworthy and collaborative AI for personalised healthcare through edge-of-things

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Metadaten
Author:Zhao Ren, Björn W. SchullerORCiDGND, Björn M. Eskofier, Thanh Tam Nguyen, Wolfgang Nejdl
URN:urn:nbn:de:bvb:384-opus4-1110757
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/111075
ISSN:2168-2194OPAC
ISSN:2168-2208OPAC
Parent Title (English):IEEE Journal of Biomedical and Health Informatics
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2024/01/31
Tag:Health Information Management; Electrical and Electronic Engineering; Computer Science Applications; Health Informatics
Volume:27
Issue:11
First Page:5213
Last Page:5215
DOI:https://doi.org/10.1109/jbhi.2023.3322052
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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