Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Unn Inger Möinichen"'
Autor:
Ragnhild Støen, Lynn Boswell, Raye-Ann de Regnier, Toril Fjørtoft, Deborah Gaebler-Spira, Espen Ihlen, Cathrine Labori, Marianne Loennecken, Michael Msall, Unn Inger Möinichen, Colleen Peyton, Annamarie Russow, Michael D. Schreiber, Inger Elisabeth Silberg, Nils Thomas Songstad, Randi Vågen, Gunn Kristin Øberg, Lars Adde
Publikováno v:
Journal of Clinical Medicine, Vol 8, Iss 11, p 1790 (2019)
Background: Early prediction of cerebral palsy (CP) using the General Movement Assessment (GMA) during the fidgety movements (FM) period has been recommended as standard of care in high-risk infants. The aim of this study was to determine the accurac
Externí odkaz:
https://doaj.org/article/c1555252baa947fb98c85803f813ed6a
Autor:
Daniel Groos, Lars Adde, Sindre Aubert, Lynn Boswell, Raye-Ann de Regnier, Toril Fjørtoft, Deborah Gaebler-Spira, Andreas Haukeland, Marianne Loennecken, Michael Msall, Unn Inger Möinichen, Aurelie Pascal, Colleen Peyton, Heri Ramampiaro, Michael D. Schreiber, Inger Elisabeth Silberg, Nils Thomas Songstad, Niranjan Thomas, Christine Van den Broeck, Gunn Kristin Øberg, Espen A.F. Ihlen, Ragnhild Støen
Publikováno v:
JAMA Network Open
JAMA NETWORK OPEN
JAMA NETWORK OPEN
Importance Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity. Objective To develop and assess the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d3c522ecbb671b5ad9cd64ccef6d948
https://hdl.handle.net/10037/26479
https://hdl.handle.net/10037/26479