A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study.
Saved in:
| Title: | A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study. |
|---|---|
| Authors: | Conte, Luana1,2 (AUTHOR) luana.conte@unipa.it, Amodeo, Ilaria3 (AUTHOR) ilaria.amodeo@policlinico.mi.it, De Nunzio, Giorgio2,4 (AUTHOR) giorgio.denunzio@unisalento.it, Raffaeli, Genny3,5 (AUTHOR) genny.raffaeli@policlinico.mi.it, Borzani, Irene6 (AUTHOR) irene.borzani@policlinico.mi.it, Persico, Nicola5,7 (AUTHOR) nicola.persico@unimi.it, Griggio, Alice8 (AUTHOR) alice.griggio@asst-fbf-sacco.it, Como, Giuseppe3 (AUTHOR) pinocomo@gmail.com, Colnaghi, Mariarosa3 (AUTHOR) mariarosa.colnaghi@policlinico.mi.it, Fumagalli, Monica3,5 (AUTHOR) monica.fumagalli@policlinico.mi.it, Cascio, Donato1 (AUTHOR) donato.cascio@unipa.it, Cavallaro, Giacomo3 (AUTHOR) giacomo.cavallaro@policlinico.mi.it |
| Source: | European Journal of Pediatrics. Apr2025, Vol. 184 Issue 4, p1-12. 12p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
