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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...

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Detalles Bibliográficos
Autores principales: Ghosh, Shantanu, Boucher, Christina, Bian, Jiang, Prosperi, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
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