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For: Cubillos G, Monckeberg M, Plaza A, Morgan M, Estevez PA, Choolani M, Kemp MW, Illanes SE, Perez CA. Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy. BMC Pregnancy Childbirth 2023;23:469. [PMID: 37353749 DOI: 10.1186/s12884-023-05766-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/08/2023] [Indexed: 06/25/2023]  Open
Number Cited by Other Article(s)
1
Kokori E, Olatunji G, Aderinto N, Muogbo I, Ogieuhi IJ, Isarinade D, Ukoaka B, Akinmeji A, Ajayi I, Chidiogo E, Samuel O, Nurudeen-Busari H, Muili AO, Olawade DB. The role of machine learning algorithms in detection of gestational diabetes; a narrative review of current evidence. Clin Diabetes Endocrinol 2024;10:18. [PMID: 38915129 PMCID: PMC11197257 DOI: 10.1186/s40842-024-00176-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 02/20/2024] [Indexed: 06/26/2024]  Open
2
Sarker MR, Ramos GA. Routine screening for gestational diabetes: a review. Curr Opin Obstet Gynecol 2024;36:97-103. [PMID: 38259247 DOI: 10.1097/gco.0000000000000940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
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