celehs/KESER: Knowledge Extraction via Sparse Embedding Regression (KESER)
Implements learning algorithm that uses large scale code embeddings to facilitate effective feature selection and knowledge discovery with EHR data.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1.1 |
| URL | https://celehs.github.io/KESER/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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