A semi-supervised adaptive markov gaussian embedding process (samgep) for prediction of phenotype event times using the electronic health record

HIGHLIGHTS

• who: Yuri Ahuja from the DepartmentUniversity of have published the research: A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record, in the Journal: Scientific Reports Scientific Reports of December/31,/2016
• what: The authors provide a sensitivity analysis with respect to the choice of k-fold cross-validation in Supplementary Fig S2 that demonstrates no significant effect of k on predictive accuracy. Rather than report raw ABC quantities-whose scale can vary greatly across set ik to the prevalence at time k: tings- the . . .
  

   

  

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