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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
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 |