Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. - Joseph B. Leader; Sarah A. Pendergrass; Anurag Verma; David J. Carey; Dustin N. Hartzel; Marylyn D. Ritchie; H. Lester Kirchner (AMIA, 2015)

Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. - Anurag Verma; Joseph B. Leader; Shefali S. Verma; Alex T. Frase; John R. Wallace; Scott M. Dudek; Daniel R. Lavage; Cristopher V. Van Hout; Frederick E. Dewey; John Penn; Alexander E. Lopez; John D. Overton; et al. (PSB, 2016)

Opening the Door to the Large Scale Use of Clinical Lab Measures for Association Testing: Exploring Different Methods for Defining Phenotypes. - Christopher R. Bauer; Daniel R. Lavage; John Snyder; Joseph B. Leader; J. Matthew Mahoney; Sarah A. Pendergrass (PSB, 2017)

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. - Shefali S. Verma; Anastasia Lucas; Daniel R. Lavage; Joseph B. Leader; Raghu Metpally; Sarathbabu Krishnamurthy; Frederick E. Dewey; Ingrid B. Borecki; Alexander E. Lopez; John D. Overton; John Penn; Jeffrey G. Reid; et al. (PSB, 2017)

A deep neural network predicts survival after heart imaging better than cardiologists. - Alvaro Ulloa; Linyuan Jing; Christopher W. Good; David P. vanMaanen; Sushravya Raghunath; Jonathan D. Suever; Christopher D. Nevius; Gregory J. Wehner; Dustin N. Hartzel; Joseph B. Leader; Amro Alsaid; Aalpen A. Patel; et al. (CoRR, 2018)

Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data. - Sushravya Raghunath; Alvaro E. Ulloa Cerna; Linyuan Jing; David P. vanMaanen; Joshua Stough; Dustin N. Hartzel; Joseph B. Leader; H. Lester Kirchner; Christopher W. Good; Aalpen A. Patel; Brian P. Delisle; Amro Alsaid; et al. (CoRR, 2019)

Finding missed cases of familial hypercholesterolemia in health systems using machine learning. - Juan M. Banda; Ashish Sarraju; Fahim Abbasi; Justin Parizo; Mitchel Pariani; Hannah Ison; Elinor Briskin; Hannah Wand; Sébastien Dubois; Kenneth Jung; Seth A. Myers; Daniel J. Rader; et al. (npj Digit. Medicine, 2019)