Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tsanas, Athanasios"'
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 5, p e16452 (2020)
BackgroundIn the current era of personalized medicine, there is increasing interest in understanding the heterogeneity in disease populations. Cluster analysis is a method commonly used to identify subtypes in heterogeneous disease populations. The c
Externí odkaz:
https://doaj.org/article/249b419eaa784af2ac41bfbb21896ddd
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 4, p e14306 (2020)
BackgroundWearables have been gaining increasing momentum and have enormous potential to provide insights into daily life behaviors and longitudinal health monitoring. However, to date, there is still a lack of principled algorithmic framework to fac
Externí odkaz:
https://doaj.org/article/9c195fd14c2d4f8286d311198da745f2
Autor:
Triantafyllidis AK; Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.; Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece., Tsanas A; Usher Institute of Population Health Sciences and Informatics, Medical School, University of Edinburgh, Edinburgh, United Kingdom.; Mathematical Institute, University of Oxford, Oxford, United Kingdom.
Publikováno v:
Journal of medical Internet research [J Med Internet Res] 2019 Apr 05; Vol. 21 (4), pp. e12286. Date of Electronic Publication: 2019 Apr 05.