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sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the EHR
A statistical learning method to simultaneously predict a range of target phenotypes using codified and natural language processing (NLP)-derived Electronic Health Record (EHR) data. See Ahuja et al (2020) JAMIA <doi:10.1093/jamia/ocaa079> for details.
Getting started
Browse package contents
Package details |
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| Author | Yuri Ahuja [aut, cre], Tianxi Cai [aut], PARSE LTD [aut] |
| Maintainer | Yuri Ahuja <Yuri_Ahuja@hms.harvard.edu> |
| License | GPL-3 |
| Version | 0.1.0-1 |
| URL | https://github.com/celehs/sureLDA |
| Package repository | View on CRAN |
| Installation |
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