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 |
| Reference manual: | PheCAP.html ,PheCAP.pdf |
| Vignettes: | NER using MetaMAP (source) Running NLP using NILE (source) Example 1: Simulated Data (source,R code) Example 2: Real EHR Data (source,R code) Main Steps (source,R code) |
| Package source: | PheCAP_1.2.1.tar.gz |
| Windows binaries: | r-devel:PheCAP_1.2.1.zip, r-release:PheCAP_1.2.1.zip, r-oldrel:PheCAP_1.2.1.zip |
| macOS binaries: | r-release (arm64):PheCAP_1.2.1.tgz, r-oldrel (arm64):PheCAP_1.2.1.tgz, r-release (x86_64):PheCAP_1.2.1.tgz, r-oldrel (x86_64):PheCAP_1.2.1.tgz |
| Old sources: | PheCAP archive |
Please use the canonical formhttps://CRAN.R-project.org/package=PheCAPto link to this page.