PREDICTING THE RISKS OF MULTIPLE HEALTHCARE-RELATED OUTCOMES VIA JOINT COMORBIDITY DISCOVERY

摘要

A mapping matrix, which maps from original features of an electronic health record database to higher level latent factors, is initialized. For each of one or more target diseases, regression coefficients are updated over the higher level latent factors, based on said initialized mapping matrix, a data matrix containing said original features, and a label vector of corresponding responses. Said mapping matrix is updated based on said updated regression coefficients. Said steps of updating said regression coefficients and updating said mapping matrix are repeated until convergence is achieved, to obtain a final mapping matrix and a final set of regression coefficients.