Peggy L. Peissig

Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page: Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records. AI Magazine 33(4): 33-45 (2012)

Abel N. Kho, M. Geoffrey Hayes, Laura Rasmussen-Torvik, Jennifer A. Pacheco, William K. Thompson, Loren L. Armstrong, Joshua C. Denny, Peggy L. Peissig, Aaron W. Miller, Wei-Qi Wei, Suzette J. Bielinski, Christopher G. Chute, Cynthia L. Leibson, Gail P. Jarvik, David R. Crosslin, Christopher S. Carlson, Katherine M. Newton, Wendy A. Wolf, Rex L. Chisholm, William L. Lowe: Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. JAMIA 19(2): 212-218 (2012)

Peggy L. Peissig, Luke V. Rasmussen, Richard L. Berg, James G. Linneman, Catherine A. McCarty, Carol Waudby, Lin Chen, Joshua C. Denny, Russell A. Wilke, Jyotishman Pathak, David Carrell, Abel N. Kho, Justin B. Starren: Importance of multi-modal approaches to effectively identify cataract cases from electronic health records. JAMIA 19(2): 225-234 (2012)

Luke V. Rasmussen, Peggy L. Peissig, Catherine A. McCarty, Justin Starren: Development of an optical character recognition pipeline for handwritten form fields from an electronic health record. JAMIA 19(e1) (2012)

Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page: High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. Journal of Machine Learning Research - Proceedings Track 22: 712-721 (2012)

David Page, Vítor Santos Costa, Sriraam Natarajan, Aubrey Barnard, Peggy L. Peissig, Michael Caldwell: Identifying Adverse Drug Events by Relational Learning. AAAI 2012

Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page: Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. IAAI 2012

Jesse Davis, Vítor Santos Costa, Elizabeth Berg, David Page, Peggy L. Peissig, Michael Caldwell: Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events. ICML 2012

Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page: Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. UAI 2012: 511-522

Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page: Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. CoRR abs/1210.4868 (2012)

Jonathan S. Schildcrout, Melissa A. Basford, Jill M. Pulley, Daniel R. Masys, Dan M. Roden, Deede Wang, Christopher G. Chute, Iftikhar J. Kullo, David Carrell, Peggy L. Peissig, Abel N. Kho, Joshua C. Denny: An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records. Journal of Biomedical Informatics 43(6): 914-923 (2010)