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Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN)
Understanding causality is of crucial importance in biomedical sciences, where developing prediction models is insufficient because the models need to be actionable. However, data sources, such as electronic health records, are observational and often plagued with various types of biases, e.g. confo...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357304/ https://www.ncbi.nlm.nih.gov/pubmed/34386786 http://dx.doi.org/10.1016/j.cmpbup.2021.100020 |