A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study.
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| Title: | A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study. |
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| 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 |
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| ISSN: | 03406199 |
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| DOI: | 10.1007/s00431-025-06073-0 |
