SAMGEP
A Semi-Supervised Method for Prediction of Phenotype Event Times
A novel semi-supervised machine learning algorithm to predict phenotype event times using Electronic Health Record (EHR) data.
- Version0.1.0-1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/06/2021
Documentation
Team
Yuri Ahuja
PARSE LTD
Show author detailsRolesAuthorTianxi Cai
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 135 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 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 1,964 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 74 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.
Data provided by CRAN
Binaries
Dependencies
- Imports8 packages
- Suggests2 packages
- Linking To2 packages