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The role of machine learning algorithms in detection of gestational diabetes; a narrative review of current evidence.

Autor: Kokori E; Department of Medicine and Surgery, University of Ilorin, Ilorin, PMB 5000, Nigeria., Olatunji G; Department of Medicine and Surgery, University of Ilorin, Ilorin, PMB 5000, Nigeria., Aderinto N; Department of Medicine, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. Nicholasoluwaseyi6@gmail.com., Muogbo I; Department of Medicine, Ladoke Akintola University of Technology, Ogbomoso, Nigeria., Ogieuhi IJ; Department of Medicine, Siberian State Medical University, Tomsk, Russia., Isarinade D; Department of Medicine and Surgery, University of Ilorin, Ilorin, PMB 5000, Nigeria., Ukoaka B; Department of Internal Medicine, Asokoro District Hospital, Abuja, Nigeria., Akinmeji A; Department of Medicine and Surgery, Olabisi Onabanjo University, Ogun, Nigeria., Ajayi I; Department of Medicine and Surgery, University of Ilorin, Ilorin, PMB 5000, Nigeria., Chidiogo E; Department of Medicine and Surgery, AfeBabalola University, Ado-Ekiti, Nigeria., Samuel O; Department of Medicine, Lagos State Health Service Commission, Lagos, Nigeria., Nurudeen-Busari H; Department of Medicine and Surgery, University of Ilorin, Ilorin, PMB 5000, Nigeria., Muili AO; Department of Medicine, Ladoke Akintola University of Technology, Ogbomoso, Nigeria., Olawade DB; Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, UK.

Publikováno v: Clinical diabetes and endocrinology [Clin Diabetes Endocrinol] 2024 Jun 25; Vol. 10 (1), pp. 18. Date of Electronic Publication: 2024 Jun 25.