Comparison of externally validated interpretable machine‐learning model with the United States Preventive Services Task Force approach to pre‐eclampsia risk assessment.
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| Title: | Comparison of externally validated interpretable machine‐learning model with the United States Preventive Services Task Force approach to pre‐eclampsia risk assessment. |
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| Authors: | Bosschieter, T. M.1 (AUTHOR), Nori, H.2 (AUTHOR), Painter, I.3 (AUTHOR), Caruana, R.2 (AUTHOR), Souter, V.3 (AUTHOR) vsouter@qualityhealth.org |
| Source: | Ultrasound in Obstetrics & Gynecology. Jul2025, Vol. 66 Issue 1, p107-108. 2p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 186312976 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186312976 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/uog.29264 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 2 StartPage: 107 Titles: – TitleFull: Comparison of externally validated interpretable machine‐learning model with the United States Preventive Services Task Force approach to pre‐eclampsia risk assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bosschieter, T. M. – PersonEntity: Name: NameFull: Nori, H. – PersonEntity: Name: NameFull: Painter, I. – PersonEntity: Name: NameFull: Caruana, R. – PersonEntity: Name: NameFull: Souter, V. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09607692 Numbering: – Type: volume Value: 66 – Type: issue Value: 1 Titles: – TitleFull: Ultrasound in Obstetrics & Gynecology Type: main |
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