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pro vyhledávání: '"Ifeanyichukwu Muogbo"'
Autor:
Emmanuel Kokori, Gbolahan Olatunji, Nicholas Aderinto, Ifeanyichukwu Muogbo, Ikponmwosa Jude Ogieuhi, David Isarinade, Bonaventure Ukoaka, Ayodeji Akinmeji, Irene Ajayi, Ezenwoba Chidiogo, Owolabi Samuel, Habeebat Nurudeen-Busari, Abdulbasit Opeyemi Muili, David B. Olawade
Publikováno v:
Clinical Diabetes and Endocrinology, Vol 10, Iss 1, Pp 1-15 (2024)
Abstract Gestational Diabetes Mellitus (GDM) poses significant health risks to mothers and infants. Early prediction and effective management are crucial to improving outcomes. Machine learning techniques have emerged as powerful tools for GDM predic
Externí odkaz:
https://doaj.org/article/e57c7e500efc4bf3adb8eba656df36ef
