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...

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Detalles Bibliográficos
Autores principales: Su, Kaixiang, Wu, Jiao, Gu, Dongxiao, Yang, Shanlin, Deng, Shuyuan, Khakimova, Aida K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700766/
https://www.ncbi.nlm.nih.gov/pubmed/34943525
http://dx.doi.org/10.3390/diagnostics11122288

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