Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2

OBJECTIVE: Risk prediction models are widely used to inform evidence-based clinical decision making. However, few models developed from single cohorts can perform consistently well at population level where diverse prognoses exist (such as the SARS-CoV-2 [severe acute respiratory syndrome coronaviru...

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Detalles Bibliográficos
Autores principales: Wu, Honghan, Zhang, Huayu, Karwath, Andreas, Ibrahim, Zina, Shi, Ting, Zhang, Xin, Wang, Kun, Sun, Jiaxing, Dhaliwal, Kevin, Bean, Daniel, Cardoso, Victor Roth, Li, Kezhi, Teo, James T, Banerjee, Amitava, Gao-Smith, Fang, Whitehouse, Tony, Veenith, Tonny, Gkoutos, Georgios V, Wu, Xiaodong, Dobson, Richard, Guthrie, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717299/
https://www.ncbi.nlm.nih.gov/pubmed/33185672
http://dx.doi.org/10.1093/jamia/ocaa295

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