Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study

Background: Early identification of cerebral palsy (CP) during infancy will provide opportunities for early therapies and treatments. The aim of the present study was to present a novel machine-learning model, the Computer-based Infant Movement Assessment (CIMA) model, for clinically feasible early...

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Detalles Bibliográficos
Autores principales: Ihlen, Espen A. F., Støen, Ragnhild, Boswell, Lynn, de Regnier, Raye-Ann, Fjørtoft, Toril, Gaebler-Spira, Deborah, Labori, Cathrine, Loennecken, Marianne C., Msall, Michael E., Möinichen, Unn I., Peyton, Colleen, Schreiber, Michael D., Silberg, Inger E., Songstad, Nils T., Vågen, Randi T., Øberg, Gunn K., Adde, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019773/
https://www.ncbi.nlm.nih.gov/pubmed/31861380
http://dx.doi.org/10.3390/jcm9010005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019773/
https://www.ncbi.nlm.nih.gov/pubmed/31861380
http://dx.doi.org/10.3390/jcm9010005

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