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Improving counterfactual reasoning with kernelised dynamic mixing models
Simulation-based approaches to disease progression allow us to make counterfactual predictions about the effects of an untried series of treatment choices. However, building accurate simulators of disease progression is challenging, limiting the utility of these approaches for real world treatment p...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231902/ https://www.ncbi.nlm.nih.gov/pubmed/30419029 http://dx.doi.org/10.1371/journal.pone.0205839 |