Imbalanced target prediction with pattern discovery on clinical data repositories

BACKGROUND: Clinical data repositories (CDR) have great potential to improve outcome prediction and risk modeling. However, most clinical studies require careful study design, dedicated data collection efforts, and sophisticated modeling techniques before a hypothesis can be tested. We aim to bridge...

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Detalles Bibliográficos
Autores principales: Chan, Tak-Ming, Li, Yuxi, Chiau, Choo-Chiap, Zhu, Jane, Jiang, Jie, Huo, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399417/
https://www.ncbi.nlm.nih.gov/pubmed/28427384
http://dx.doi.org/10.1186/s12911-017-0443-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399417/
https://www.ncbi.nlm.nih.gov/pubmed/28427384
http://dx.doi.org/10.1186/s12911-017-0443-3

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