A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application. - Tian Ge; Thomas E. Nichols; Debashis Ghosh; Elizabeth C. Mormino; Jordan W. Smoller; Mert R. Sabuncu (NeuroImage, 2015)

Frontal P3 event-related potential is related to brain glutamine/glutamate ratio measured in vivo. - Mei-Hua Hall; J. Eric Jensen; Fei Du; Jordan W. Smoller; Lauren O'Connor; Kevin M. Spencer; Dost Öngür (NeuroImage, 2015)

Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. - Qiu-Yue Zhong; Elizabeth W. Karlson; Bizu Gelaye; Sean Finan; Paul Avillach; Jordan W. Smoller; Tianxi Cai; Michelle A. Williams (BMC Medical Informatics Decis. Mak., 2018)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. - Xinyuan Zhang 003; Yogasudha Veturi; Shefali Setia Verma; William Bone; Anurag Verma; Anastasia Lucas; Scott J. Hebbring; Joshua C. Denny; Ian B. Stanaway; Gail P. Jarvik; David R. Crosslin; Eric B. Larson; et al. (PSB, 2019)

Temporally informed random forests for suicide risk prediction. - Ilkin Bayramli; Victor M. Castro; Yuval Barak-Corren; Emily M. Madsen; Matthew K. Nock; Jordan W. Smoller; Ben Y. Reis (J. Am. Medical Informatics Assoc., 2021)

A SMART on FHIR Application to Improve Suicide Risk Prediction and Management. - William J. Gordon; Kate Bentley; Amy Fitzpatrick; Brian Kaney; Ronald Kessler; Matthew K. Nock; Ben Y. Reis; Mark Schechter; Vicki Strateman; Dewar Tan; Sarah Young; Jordan W. Smoller (AMIA, 2022)

A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. - Marc P. Maurits; Ilya Korsunsky; Soumya Raychaudhuri; Shawn N. Murphy; Jordan W. Smoller; Scott T. Weiss; Thomas W. J. Huizinga; Marcel J. T. Reinders; Elizabeth W. Karlson; Erik van den Akker 001; Rachel Knevel (J. Am. Medical Informatics Assoc., 2022)

Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction. - Ilkin Bayramli; Victor M. Castro; Yuval Barak-Corren; Emily M. Madsen; Matthew K. Nock; Jordan W. Smoller; Ben Y. Reis (npj Digit. Medicine, 2022)

The All of Us Research Program: Data quality, utility, and diversity. - Andrea H. Ramirez; Lina M. Sulieman; David J. Schlueter; Alese E. Halvorson; Jun Qian; Francis Ratsimbazafy; Roxana Loperena-Cortes; Kelsey R. Mayo; Melissa A. Basford; Nicole Deflaux; Karthik Muthuraman; Karthik Natarajan; et al. (Patterns, 2022)

AI-assisted prediction of differential response to antidepressant classes using electronic health records. - Yi-han Sheu; Colin G. Magdamo; Matthew Miller; Sudeshna Das 001; Deborah Blacker; Jordan W. Smoller (npj Digit. Medicine, 2023)

PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis. - Siwei Zhang; Nick Strayer; Tess Vessels; Karmel Choi; Geoffrey W. Wang; Yajing Li; Cosmin Adrian Bejan; Ryan S. Hsi; Alex Bick; Digna R. Velez Edwards; Michael R. Savona; Elizabeth J. Phillips; et al. (J. Am. Medical Informatics Assoc., 2024)

Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations. - Yi-han Sheu; Jaak Simm; Bo Wang 034; Hyunjoon Lee; Jordan W. Smoller (npj Digit. Medicine, 2025)