Package: PheCAP 1.2.2

PARSE LTD

PheCAP: High-Throughput Phenotyping with EHR using a Common Automated Pipeline

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>.

Authors:Yichi Zhang [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut, cre]

PheCAP_1.2.2.tar.gz
PheCAP_1.2.2.zip(r-4.5)PheCAP_1.2.2.zip(r-4.4)PheCAP_1.2.2.zip(r-4.3)
PheCAP_1.2.2.tgz(r-4.4-any)PheCAP_1.2.2.tgz(r-4.3-any)
PheCAP_1.2.2.tar.gz(r-4.5-noble)PheCAP_1.2.2.tar.gz(r-4.4-noble)
PheCAP_1.2.2.tgz(r-4.4-emscripten)PheCAP_1.2.2.tgz(r-4.3-emscripten)
PheCAP.pdf |PheCAP.html✨
PheCAP/json (API)

Peer review:

Bug tracker:https://github.com/celehs/phecap/issues

On CRAN:

9 exports 20 stars 2.23 score 12 dependencies 1 mentions 8 scripts 221 downloads

Last updated 4 years agofrom:7c18179625. Checks:OK: 7. Indexed: yes.

Exports:phecap_generate_dictionary_filephecap_perform_majority_votingphecap_plot_roc_curvesphecap_predict_phenotypephecap_run_feature_extractionphecap_train_phenotyping_modelphecap_validate_phenotyping_modelPhecapDataPhecapSurrogate

Dependencies:codetoolsDBIforeachglmnetiteratorslatticeMatrixRcppRcppEigenRMySQLshapesurvival