HAL (France)
open access
La revue du Comité SFAR Jeunes : « Phénotypage et deep learning, comprendre les nouvelles approches statistiques : l’exemple du SDRA »
apprentissage-automatiquemachine-learningmethodsphenotypeprecision-medicinerespiratory-distress-syndrome
Contexte Le syndrome de détresse respiratoire aiguë (SDRA) correspond à un syndrome hétérogène, ce qui limite la découverte de thérapeutiques efficaces parmi les essais cliniques récents. La médecine de précision, en identifiant des phénotypes distincts (cliniques, radiologiques, biologiques), vise
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