Cargando…
ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image
Objective. To select significant Haar-like features extracted from tongue images for health identification. Materials and Methods. 1,322 tongue cases were included in this study. Health information and tongue images of each case were collected. Cases were classified into the following groups: group...
Autores principales: | Cui, Yan, Liao, Shizhong, Wang, Hongwu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4620425/ https://www.ncbi.nlm.nih.gov/pubmed/26543494 http://dx.doi.org/10.1155/2015/362806 |
Ejemplares similares
-
Relationship between Hyperuricemia and Haar-Like Features on Tongue Images
por: Cui, Yan, et al.
Publicado: (2015) -
A boosting method for maximizing the partial area under the ROC curve
por: Komori, Osamu, et al.
Publicado: (2010) -
Variable Selection in ROC Regression
por: Wang, Binhuan
Publicado: (2013) -
Theoretical vs. empirical discriminability: the application of ROC methods to eyewitness identification
por: Wixted, John T., et al.
Publicado: (2018) -
PrimerROC: accurate condition-independent dimer prediction using ROC analysis
por: Johnston, Andrew D., et al.
Publicado: (2019)