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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...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6231902/ https://ncbi.nlm.nih.gov/pubmed/30419029 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0205839 |
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