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.
- Version0.1.0-1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/10/2020
Documentation
Team
Yuri Ahuja
PARSE LTD
Show author detailsRolesAuthorTianxi Cai
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Insights
Last 30 days
This package has been downloaded 103 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,469 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 02, 2025 with 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Imports6 packages
- Suggests2 packages
- Linking To2 packages