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

Abstract 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 co...

詳細記述

書誌詳細

主要な著者:	Héctor Gallardo-Rincón, María Jesús Ríos-Blancas, Janinne Ortega-Montiel, Alejandra Montoya, Luis Alberto Martinez-Juarez, Julieta Lomelín-Gascón, Rodrigo Saucedo-Martínez, Ricardo Mújica-Rosales, Victoria Galicia-Hernández, Linda Morales-Juárez, Lucía Marcela Illescas-Correa, Ixel Lorena Ruiz-Cabrera, Daniel Alberto Díaz-Martínez, Francisco Javier Magos-Vázquez, Edwin Oswaldo Vargas Ávila, Alejandro Efraín Benitez-Herrera, Diana Reyes-Gómez, María Concepción Carmona-Ramos, Laura Hernández-González, Oscar Romero-Islas, Enrique Reyes Muñoz, Roberto Tapia-Conyer
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2023-04-01
シリーズ:	Scientific Reports
オンライン･アクセス:	https://doi.org/10.1038/s41598-023-34126-7
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!