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sureLDA - A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record
A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record.
Last updated
cpp
4.78 score 4 stars 5 scripts 238 downloadsSCORNET - Semi-Supervised Calibration of Risk with Noisy Event Times
A consistent, semi-supervised, non-parametric survival curve estimator optimized for efficient use of Electronic Health Record (EHR) data with a limited number of current status labels. See van der Laan and Robins (1997) <doi:10.2307/2670119>.
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cpp
4.48 score 3 stars 7 scripts 266 downloadsSAMGEP - 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.
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openblascpp
4.30 score 2 stars 3 scripts 259 downloads