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An Adaptive Deep Ensemble Learning Method for Dynamic Evolving Diagnostic Task Scenarios
Increasingly, machine learning methods have been applied to aid in diagnosis with good results. However, some complex models can confuse physicians because they are difficult to understand, while data differences across diagnostic tasks and institutions can cause model performance fluctuations. To a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700766/ https://www.ncbi.nlm.nih.gov/pubmed/34943525 http://dx.doi.org/10.3390/diagnostics11122288 |