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Predicting 2-year neurodevelopmental outcomes in extremely preterm infants using graphical network and machine learning approaches.
Juul, Sandra E; Wood, Thomas R; German, Kendell; Law, Janessa B; Kolnik, Sarah E; Puia-Dumitrescu, Mihai; Mietzsch, Ulrike; Gogcu, Semsa; Comstock, Bryan A; Li, Sijia; Mayock, Dennis E; Heagerty, Patrick J.
Affiliation
  • Juul SE; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Wood TR; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • German K; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Law JB; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Kolnik SE; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Puia-Dumitrescu M; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Mietzsch U; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Gogcu S; Division of Neonatology, Department of Pediatrics, Wake Forest School of Medicine, NC, USA.
  • Comstock BA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Li S; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Mayock DE; Division of Neonatology, Department of Pediatrics, University of Washington, Seattle, WA, USA.
  • Heagerty PJ; Department of Biostatistics, University of Washington, Seattle, WA, USA.
EClinicalMedicine ; 56: 101782, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36618896
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: EClinicalMedicine Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: EClinicalMedicine Year: 2023 Document type: Article Affiliation country: Country of publication: