Cargando…
Classification of breast cancer recurrence based on imputed data: a simulation study
Several studies have been conducted to classify various real life events but few are in medical fields; particularly about breast recurrence under statistical techniques. To our knowledge, there is no reported comparison of statistical classification accuracy and classifiers’ discriminative ability...
Autores principales: | Abassi, Rahibu A., Msengwa, Amina S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727846/ https://www.ncbi.nlm.nih.gov/pubmed/36476234 http://dx.doi.org/10.1186/s13040-022-00316-8 |
Ejemplares similares
-
Epidemic risk of arboviral diseases: Determining the habitats, spatial-temporal distribution, and abundance of immature Aedes aegypti in the Urban and Rural areas of Zanzibar, Tanzania
por: Saleh, Fatma, et al.
Publicado: (2020) -
A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction
por: Hu, Zhiyong, et al.
Publicado: (2020) -
Machine Learning Data Imputation and Classification in a Multicohort Hypertension Clinical Study
por: Seffens, William, et al.
Publicado: (2016) -
Impact of missing data imputation methods on gene expression clustering and classification
por: de Souto, Marcilio CP, et al.
Publicado: (2015) -
Spatially Explicit Burden Estimates of Malaria in Tanzania: Bayesian Geostatistical Modeling of the Malaria Indicator Survey Data
por: Gosoniu, Laura, et al.
Publicado: (2012)