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Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome
State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision support systems to physicians. Modern ML approaches such as artificial neural networks (ANNs) and tree boosting often perform better than mor...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7135268/ https://ncbi.nlm.nih.gov/pubmed/32251471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0231166 |
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