Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods

BACKGROUND/AIMS: To develop an early prediction model for gestational diabetes mellitus (GDM) using machine learning and to evaluate whether the inclusion of nonalcoholic fatty liver disease (NAFLD)-associated variables increases the performance of model. METHODS: This prospective cohort study evalu...

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Detalles Bibliográficos
Autores principales: Lee, Seung Mi, Hwangbo, Suhyun, Norwitz, Errol R., Koo, Ja Nam, Oh, Ig Hwan, Choi, Eun Saem, Jung, Young Mi, Kim, Sun Min, Kim, Byoung Jae, Kim, Sang Youn, Kim, Gyoung Min, Kim, Won, Joo, Sae Kyung, Shin, Sue, Park, Chan-Wook, Park, Taesung, Park, Joong Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Association for the Study of the Liver 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755469/
https://www.ncbi.nlm.nih.gov/pubmed/34649307
http://dx.doi.org/10.3350/cmh.2021.0174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755469/
https://www.ncbi.nlm.nih.gov/pubmed/34649307
http://dx.doi.org/10.3350/cmh.2021.0174

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