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>.

Package details

AuthorYichi Zhang [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut, cre]
MaintainerPARSE LTD <software@parse-health.org>
LicenseGPL-3
Version1.2.1
URL https://celehs.github.io/PheCAP/ https://github.com/celehs/PheCAP
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PheCAP")

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PheCAP documentation built on Sept. 17, 2020, 5:07 p.m.