N°25 – Predicting the neurodevelopmental outcome in extremely preterm newborns using a multimodal prognostic model including brain function information

Laura Routier (1, 2) , Laurent Querné (1, 2) , Ghida Ghostine-Ramadan (1, 2) , Julie Boulesteix (1, 2) , Solène Graïc (1, 2) , Sandrine Mony (1, 2) , Fabrice Wallois (1, 2) , Emilie Bourel-Ponchel (1, 2)

1 GRAMFC - Groupe de Recherche sur l'Analyse Multimodale de la Fonction Cérébrale - UMR INSERM_S 1105
2 CHU Amiens-Picardie

Mots clés: Prematurity; Prognosis; Decision tree; Electroencephalography

Domaines: Neurosciences [q-bio.NC]

Laura Routier, Laurent Querné, Ghida Ghostine-Ramadan, Julie Boulesteix, Solène Graïc, et al.. N°25 – Predicting the neurodevelopmental outcome in extremely preterm newborns using a multimodal prognostic model including brain function information. Clinical Neurophysiology, 2023, 150, pp.e80-e81. ⟨10.1016/j.clinph.2023.03.039⟩. ⟨hal-04104139⟩