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A deep neural network predicts survival after heart imaging better than cardiologists., , , , , , , , , and 5 other author(s). CoRR, (2018)Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies., , , , , , , , , and 7 other author(s). PSB, page 168-179. (2016)Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR., , , , , , , , , and 5 other author(s). PSB, page 533-544. (2017)Finding missed cases of familial hypercholesterolemia in health systems using machine learning., , , , , , , , , and 8 other author(s). npj Digit. Medicine, (2019)Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes., , , , , , and . AMIA, AMIA, (2015)Opening the Door to the Large Scale Use of Clinical Lab Measures for Association Testing: Exploring Different Methods for Defining Phenotypes., , , , , and . PSB, page 356-367. (2017)Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data., , , , , , , , , and 5 other author(s). CoRR, (2019)