MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women

Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort stud...

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Detalles Bibliográficos
Autores principales: Gallardo-Rincón, Héctor, Ríos-Blancas, María Jesús, Ortega-Montiel, Janinne, Montoya, Alejandra, Martinez-Juarez, Luis Alberto, Lomelín-Gascón, Julieta, Saucedo-Martínez, Rodrigo, Mújica-Rosales, Ricardo, Galicia-Hernández, Victoria, Morales-Juárez, Linda, Illescas-Correa, Lucía Marcela, Ruiz-Cabrera, Ixel Lorena, Díaz-Martínez, Daniel Alberto, Magos-Vázquez, Francisco Javier, Ávila, Edwin Oswaldo Vargas, Benitez-Herrera, Alejandro Efraín, Reyes-Gómez, Diana, Carmona-Ramos, María Concepción, Hernández-González, Laura, Romero-Islas, Oscar, Muñoz, Enrique Reyes, Tapia-Conyer, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144896/
https://www.ncbi.nlm.nih.gov/pubmed/37117235
http://dx.doi.org/10.1038/s41598-023-34126-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144896/
https://www.ncbi.nlm.nih.gov/pubmed/37117235
http://dx.doi.org/10.1038/s41598-023-34126-7

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