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A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk Factors
Bayesian network is an increasingly popular method in modeling uncertain and complex problems, because its interpretability is often more useful than plain prediction. To satisfy the core requirement in medical research to obtain interpretable prediction with high accuracy, we constructed an inferen...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018-09-01
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| Colecção: | Frontiers in Neurology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/article/10.3389/fneur.2018.00699/full |
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