Applying Organizational Network Analysis Techniques to Study Information Use in a Public Health Agency. - Jacqueline Merrill; Suzanne Bakken; Michael Caldwell; Kathleen M. Carley; Maxine L. Rockoff (AMIA, 2005)

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

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

Relational machine learning for electronic health record-driven phenotyping. - Peggy L. Peissig; Vítor Santos Costa; Michael Caldwell; Carla Rottscheit; Richard L. Berg; Eneida A. Mendonça; David Page (J. Biomed. Informatics, 2014)

Predicting Adverse Drug Events from Electronic Medical Records. - Jesse Davis; Vítor Santos Costa; Peggy L. Peissig; Michael Caldwell; David Page (Foundations of Biomedical Knowledge Representation, 2015)

Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data. - Zhaobin Kuang; James A. Thomson; Michael Caldwell; Peggy L. Peissig; Ron M. Stewart; David Page (IJCAI, 2016)

Computational Drug Repositioning Using Continuous Self-Controlled Case Series. - Zhaobin Kuang; James A. Thomson; Michael Caldwell; Peggy L. Peissig; Ron M. Stewart; David Page (KDD, 2016)

Markov logic networks for adverse drug event extraction from text. - Sriraam Natarajan; Vishal Bangera; Tushar Khot; Jose Picado; Anurag Wazalwar; Vítor Santos Costa; David Page; Michael Caldwell (Knowl. Inf. Syst., 2017)

High-Throughput Machine Learning from Electronic Health Records. - Ross S. Kleiman; Paul S. Bennett; Peggy L. Peissig; Richard L. Berg; Zhaobin Kuang; Scott J. Hebbring; Michael D. Caldwell; David Page (CoRR, 2019)