CRAN/E | PheCAP

PheCAP

High-Throughput Phenotyping with EHR using a Common Automated Pipeline

Installation

About

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.

celehs.github.io/PheCAP/
github.com/celehs/PheCAP
Bug report File report

Key Metrics

Version 1.2.1
R ≥ 3.3.0
Published 2020-09-17 1320 days ago
Needs compilation? no
License GPL-3
CRAN checks PheCAP results

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Maintainer

Maintainer

PARSE LTD

software@parse-health.org

Authors

Yichi Zhang

aut

Chuan Hong

aut

Tianxi Cai

aut

PARSE LTD

aut / cre

Material

README
Reference manual
Package source

Vignettes

NER using MetaMAP
Running NLP using NILE
Example 1: Simulated Data
Example 2: Real EHR Data
Main Steps

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PheCAP archive

Depends

R ≥ 3.3.0

Imports

graphics
methods
stats
utils
glmnet
RMySQL

Suggests

ggplot2
e1071
randomForestSRC
xgboost
knitr
rmarkdown