Implement surrogate-assisted feature extraction (SAFE) and common machine learning approaches to train and validate phenotyping models. Background and details about the methods can be found at Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>, Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and Liao et al. (2015) <doi:10.1136/bmj.h1885>.
Version: 1.2.1 Depends: R (≥ 3.3.0) Imports: graphics, methods, stats, utils, glmnet, RMySQL Suggests: ggplot2, e1071, randomForestSRC, xgboost, knitr, rmarkdown Published: 2020-09-17 DOI: 10.32614/CRAN.package.PheCAP Author: Yichi Zhang [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut, cre] Maintainer: PARSE LTD <software at parse-health.org> BugReports: https://github.com/celehs/PheCAP/issues License: GPL-3 URL: https://celehs.github.io/PheCAP/, https://github.com/celehs/PheCAP NeedsCompilation: no Materials: README CRAN checks: PheCAP results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PheCAP to link to this page.
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