Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points. - Ilkka Huopaniemi; Girish N. Nadkarni; Rajiv Nadukuru; Vaneet Lotay; Stephen B. Ellis; Omri Gottesman; Erwin P. Bottinger (AMIA, 2014)

Development and validation of an electronic phenotyping algorithm for chronic kidney disease. - Girish N. Nadkarni; Omri Gottesman; James G. Linneman; Herbert S. Chase; Richard L. Berg; Samira Farouk; Vaneet Lotay; Stephen B. Ellis; George Hripcsak; Peggy L. Peissig; Chunhua Weng; Rajiv Nadukuru; et al. (AMIA, 2014)

Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration. - Anima Singh; Girish N. Nadkarni; Omri Gottesman; Stephen B. Ellis; Erwin P. Bottinger; John V. Guttag (J. Biomed. Informatics, 2015)

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability. - Jacqueline Kirby; Peter Speltz; Luke V. Rasmussen; Melissa A. Basford; Omri Gottesman; Peggy L. Peissig; Jennifer A. Pacheco; Gerard Tromp; Jyotishman Pathak; David S. Carrell; Stephen B. Ellis; Todd Lingren; et al. (J. Am. Medical Informatics Assoc., 2016)

iGAS: A framework for using electronic intraoperative medical records for genomic discovery. - Matthew A. Levin; Thomas T. Joseph; Janina M. Jeff; Rajiv Nadukuru; Stephen B. Ellis; Erwin P. Bottinger; Eimear E. Kenny (J. Biomed. Informatics, 2017)

Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants. - Paul R. Dexter; Henry H. Ong; Amanda Elsey; Gillian Bell; Nephi Walton; Wendy K. Chung; Luke V. Rasmussen; J. Kevin Hicks; Aniwaa Owusu-obeng; Stuart A. Scott; Stephen B. Ellis; Josh F. Peterson (AMIA, 2019)

Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression. - Tielman T. Van Vleck; Lili Chan; Steven G. Coca; Catherine K. Craven; Ron Do; Stephen B. Ellis; Joseph L. Kannry; Ruth J. F. Loos; Peter A. Bonis; Judy Cho; Girish N. Nadkarni (Int. J. Medical Informatics, 2019)