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Machine learning vs. classic statistics for the prediction of IVF outcomes
PURPOSE: To assess whether machine learning methods provide advantage over classic statistical modeling for the prediction of IVF outcomes. METHODS: The study population consisted of 136 women undergoing a fresh IVF cycle from January 2014 to August 2016 at a tertiary, university-affiliated medical...
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| Publicado no: | J Assist Reprod Genet |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7550518/ https://ncbi.nlm.nih.gov/pubmed/32783138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10815-020-01908-1 |
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