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Medical prediction from missing data with max-minus negative regularized dropout
Missing data is a naturally common problem faced in medical research. Imputation is a widely used technique to alleviate this problem. Unfortunately, the inherent uncertainty of imputation would make the model overfit the observed data distribution, which has a negative impact on the model generaliz...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373302/ https://www.ncbi.nlm.nih.gov/pubmed/37521692 http://dx.doi.org/10.3389/fnins.2023.1221970 |