ChuanHong/PheCAP.tutorial: 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>.
Getting started
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Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 1.2.2 |
| URL | https://celehs.github.io/PheCAP/ https://github.com/celehs/PheCAP |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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