Prediction model for missed abortion of patients treated with IVF-ET based on XGBoost: a retrospective study

AIM: In this study, we established a model based on XGBoost to predict the risk of missed abortion in patients treated with in vitro fertilization-embryo transfer (IVF-ET), evaluated its prediction ability, and compared the model with the traditional logical regression model. METHODS: We retrospecti...

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Detalles Bibliográficos
Autores principales: Yuan, Guanghui, Lv, Bohan, Du, Xin, Zhang, Huimin, Zhao, Mingzi, Liu, Yingxue, Hao, Cuifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Gynecology and Obstetrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893909/
https://www.ncbi.nlm.nih.gov/pubmed/36743954
http://dx.doi.org/10.7717/peerj.14762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893909/
https://www.ncbi.nlm.nih.gov/pubmed/36743954
http://dx.doi.org/10.7717/peerj.14762

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