Predicting Future Respiratory Hospitalizations in Extremely Premature Neonates Using Transcriptomic Data and Machine Learning.
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| Title: | Predicting Future Respiratory Hospitalizations in Extremely Premature Neonates Using Transcriptomic Data and Machine Learning. |
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| Authors: | McOmber BG; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA., Randolph L; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA., Lang P 2nd; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA., Kwinta P; Department of Pediatrics, Jagiellonian University Medical College, 30-663 Krakow, Poland., Kuiper J; Department of Environmental and Occupational Health, George Washington University, Washington, DC 20052, USA., Makker K; Department of Pediatrics, Johns Hopkins University, Baltimore, MD 21287, USA., Aziz KB; Department of Pediatrics, Johns Hopkins University, Baltimore, MD 21287, USA., Moreira A; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA. |
| Source: | Children (Basel, Switzerland) [Children (Basel)] 2025 Jul 29; Vol. 12 (8). Date of Electronic Publication: 2025 Jul 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101648936 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9067 (Print) Linking ISSN: 22279067 NLM ISO Abbreviation: Children (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40868449 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting Future Respiratory Hospitalizations in Extremely Premature Neonates Using Transcriptomic Data and Machine Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22McOmber+BG%22">McOmber BG</searchLink>; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA.<br /><searchLink fieldCode="AU" term="%22Randolph+L%22">Randolph L</searchLink>; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA.<br /><searchLink fieldCode="AU" term="%22Lang+P+2nd%22">Lang P 2nd</searchLink>; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA.<br /><searchLink fieldCode="AU" term="%22Kwinta+P%22">Kwinta P</searchLink>; Department of Pediatrics, Jagiellonian University Medical College, 30-663 Krakow, Poland.<br /><searchLink fieldCode="AU" term="%22Kuiper+J%22">Kuiper J</searchLink>; Department of Environmental and Occupational Health, George Washington University, Washington, DC 20052, USA.<br /><searchLink fieldCode="AU" term="%22Makker+K%22">Makker K</searchLink>; Department of Pediatrics, Johns Hopkins University, Baltimore, MD 21287, USA.<br /><searchLink fieldCode="AU" term="%22Aziz+KB%22">Aziz KB</searchLink>; Department of Pediatrics, Johns Hopkins University, Baltimore, MD 21287, USA.<br /><searchLink fieldCode="AU" term="%22Moreira+A%22">Moreira A</searchLink>; Department of Pediatrics, University of Texas Health San Antonio, San Antonio, TX 78229, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101648936%22">Children (Basel, Switzerland)</searchLink> [Children (Basel)] 2025 Jul 29; Vol. 12 (8). <i>Date of Electronic Publication: </i>2025 Jul 29. – 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="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648936 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2227-9067 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222279067%22">22279067 </searchLink><i>NLM ISO Abbreviation: </i>Children (Basel) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40868449 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/children12080996 Languages: – Code: eng Text: English Titles: – TitleFull: Predicting Future Respiratory Hospitalizations in Extremely Premature Neonates Using Transcriptomic Data and Machine Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McOmber BG – PersonEntity: Name: NameFull: Randolph L – PersonEntity: Name: NameFull: Lang P 2nd – PersonEntity: Name: NameFull: Kwinta P – PersonEntity: Name: NameFull: Kuiper J – PersonEntity: Name: NameFull: Makker K – PersonEntity: Name: NameFull: Aziz KB – PersonEntity: Name: NameFull: Moreira A IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 07 Text: 2025 Jul 29 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2227-9067 Numbering: – Type: volume Value: 12 – Type: issue Value: 8 Titles: – TitleFull: Children (Basel, Switzerland) Type: main |
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