Ihlen, Espen Alexander F.; Støen, Ragnhild; Boswell, Lynn; de-Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Labori, Cathrine; Loennecken, Marianne; Msall, Michael; Møinichen, Unn Inger; Peyton, Colleen; Schreiber, Michael; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Vågen, Randi; Øberg, Gunn Kristin; Adde, Lars (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-18)
<i>Background</i>: 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 CP prediction based on infant video recordings.<p><p>
<i>Methods</i>: The CIMA model was ...