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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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 183595655 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Conte%2C+Luana%22">Conte, Luana</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> luana.conte@unipa.it</i><br /><searchLink fieldCode="AR" term="%22Amodeo%2C+Ilaria%22">Amodeo, Ilaria</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ilaria.amodeo@policlinico.mi.it</i><br /><searchLink fieldCode="AR" term="%22De+Nunzio%2C+Giorgio%22">De Nunzio, Giorgio</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<i> giorgio.denunzio@unisalento.it</i><br /><searchLink fieldCode="AR" term="%22Raffaeli%2C+Genny%22">Raffaeli, Genny</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<i> genny.raffaeli@policlinico.mi.it</i><br /><searchLink fieldCode="AR" term="%22Borzani%2C+Irene%22">Borzani, Irene</searchLink><relatesTo>6</relatesTo> (AUTHOR)<i> irene.borzani@policlinico.mi.it</i><br /><searchLink fieldCode="AR" term="%22Persico%2C+Nicola%22">Persico, Nicola</searchLink><relatesTo>5,7</relatesTo> (AUTHOR)<i> nicola.persico@unimi.it</i><br /><searchLink fieldCode="AR" term="%22Griggio%2C+Alice%22">Griggio, Alice</searchLink><relatesTo>8</relatesTo> (AUTHOR)<i> alice.griggio@asst-fbf-sacco.it</i><br /><searchLink fieldCode="AR" term="%22Como%2C+Giuseppe%22">Como, Giuseppe</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> pinocomo@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Colnaghi%2C+Mariarosa%22">Colnaghi, Mariarosa</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mariarosa.colnaghi@policlinico.mi.it</i><br /><searchLink fieldCode="AR" term="%22Fumagalli%2C+Monica%22">Fumagalli, Monica</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<i> monica.fumagalli@policlinico.mi.it</i><br /><searchLink fieldCode="AR" term="%22Cascio%2C+Donato%22">Cascio, Donato</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> donato.cascio@unipa.it</i><br /><searchLink fieldCode="AR" term="%22Cavallaro%2C+Giacomo%22">Cavallaro, Giacomo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> giacomo.cavallaro@policlinico.mi.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Pediatrics%22">European Journal of Pediatrics</searchLink>. Apr2025, Vol. 184 Issue 4, p1-12. 12p. |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00431-025-06073-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Conte, Luana – PersonEntity: Name: NameFull: Amodeo, Ilaria – PersonEntity: Name: NameFull: De Nunzio, Giorgio – PersonEntity: Name: NameFull: Raffaeli, Genny – PersonEntity: Name: NameFull: Borzani, Irene – PersonEntity: Name: NameFull: Persico, Nicola – PersonEntity: Name: NameFull: Griggio, Alice – PersonEntity: Name: NameFull: Como, Giuseppe – PersonEntity: Name: NameFull: Colnaghi, Mariarosa – PersonEntity: Name: NameFull: Fumagalli, Monica – PersonEntity: Name: NameFull: Cascio, Donato – PersonEntity: Name: NameFull: Cavallaro, Giacomo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 03406199 Numbering: – Type: volume Value: 184 – Type: issue Value: 4 Titles: – TitleFull: European Journal of Pediatrics Type: main |
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