Machine Learning to Predict Outcomes of Fetal Cardiac Disease: A Pilot Study.
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| Title: | Machine Learning to Predict Outcomes of Fetal Cardiac Disease: A Pilot Study. |
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| Authors: | Nield LE; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. lynne.nield@sunnybrook.ca., Manlhiot C; Department of Pediatrics, Blalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA., Magor K; University of Toronto, Toronto, Canada., Freud L; The Hospital for Sick Children, Toronto, Canada., Chinni B; Department of Pediatrics, Blalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA., Ims A; Department of Pediatrics, Blalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA., Melamed N; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada., Nevo O; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada., Van Mieghem T; Department of Obstetrics and Gynaecology, Mount Sinai Hospital Toronto, University of Toronto, Toronto, Canada., Weisz D; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada., Ronzoni S; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. |
| Source: | Pediatric cardiology [Pediatr Cardiol] 2025 Apr; Vol. 46 (4), pp. 895-901. Date of Electronic Publication: 2024 May 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Verlag Country of Publication: United States NLM ID: 8003849 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1971 (Electronic) Linking ISSN: 01720643 NLM ISO Abbreviation: Pediatr Cardiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38724761 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning to Predict Outcomes of Fetal Cardiac Disease: A Pilot Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nield+LE%22">Nield LE</searchLink>; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. lynne.nield@sunnybrook.ca.<br /><searchLink fieldCode="AU" term="%22Manlhiot+C%22">Manlhiot C</searchLink>; Department of Pediatrics, Blalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Magor+K%22">Magor K</searchLink>; University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Freud+L%22">Freud L</searchLink>; The Hospital for Sick Children, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Chinni+B%22">Chinni B</searchLink>; Department of Pediatrics, Blalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Ims+A%22">Ims A</searchLink>; Department of Pediatrics, Blalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Melamed+N%22">Melamed N</searchLink>; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.<br /><searchLink fieldCode="AU" term="%22Nevo+O%22">Nevo O</searchLink>; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.<br /><searchLink fieldCode="AU" term="%22Van+Mieghem+T%22">Van Mieghem T</searchLink>; Department of Obstetrics and Gynaecology, Mount Sinai Hospital Toronto, University of Toronto, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Weisz+D%22">Weisz D</searchLink>; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.<br /><searchLink fieldCode="AU" term="%22Ronzoni+S%22">Ronzoni S</searchLink>; Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228003849%22">Pediatric cardiology</searchLink> [Pediatr Cardiol] 2025 Apr; Vol. 46 (4), pp. 895-901. <i>Date of Electronic Publication: </i>2024 May 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8003849 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1971 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201720643%22">01720643 </searchLink><i>NLM ISO Abbreviation: </i>Pediatr Cardiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38724761 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00246-024-03512-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 895 Titles: – TitleFull: Machine Learning to Predict Outcomes of Fetal Cardiac Disease: A Pilot Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nield LE – PersonEntity: Name: NameFull: Manlhiot C – PersonEntity: Name: NameFull: Magor K – PersonEntity: Name: NameFull: Freud L – PersonEntity: Name: NameFull: Chinni B – PersonEntity: Name: NameFull: Ims A – PersonEntity: Name: NameFull: Melamed N – PersonEntity: Name: NameFull: Nevo O – PersonEntity: Name: NameFull: Van Mieghem T – PersonEntity: Name: NameFull: Weisz D – PersonEntity: Name: NameFull: Ronzoni S IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Apr Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1432-1971 Numbering: – Type: volume Value: 46 – Type: issue Value: 4 Titles: – TitleFull: Pediatric cardiology Type: main |
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