Review of Genetic and Artificial Intelligence approaches to improving Gestational Diabetes Mellitus Screening and Diagnosis in sub-Saharan Africa
Gadhia V, Loyal J. Review of Genetic and Artificial Intelligence approaches to improving Gestational Diabetes Mellitus Screening and Diagnosis in sub-Saharan Africa. The Yale Journal Of Biology And Medicine 2024, 97: 67-72. PMID: 38559462, PMCID: PMC10964814, DOI: 10.59249/zbsc2656.Peer-Reviewed Original ResearchMeSH KeywordsAfrica South of the SaharaArtificial IntelligenceDiabetes, GestationalFemaleHumansInfant, NewbornPregnancyRisk AssessmentConceptsGestational diabetes mellitus screeningGestational diabetes mellitusSub-Saharan AfricaSingle nucleotide polymorphismsBarriers to successful integrationImplementation of AISub-Saharan African womenSub-SaharanPredictor of gestational diabetes mellitusRisk of gestational diabetes mellitusAssociated with gestational diabetes mellitusDiabetes mellitus screeningEarly identificationBlack South African cohortTrimester of pregnancySouth African cohortSub-Saharan African populationsHealthcare systemImprove screeningResource settingsSub-Saharan African regionField of healthcareGenetic variantsGoogle ScholarAfrican cohort