Jordan W. Smoller

According to our database, Jordan W. Smoller authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

AI-assisted prediction of differential response to antidepressant classes using electronic health records.

Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller

npj Digit. Medicine, 2023

2022

The <i>All of Us</i> 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, Abel N. Kho, Hua Xu, Consuelo H. Wilkins, Hoda Anton-Culver, Eric Boerwinkle, Mine Cicek, Cheryl R. Clark, Elizabeth Cohn, Lucila Ohno-Machado, Sheri D. Schully, Brian K. Ahmedani, Maria Argos, Robert M. Cronin, Christopher J. O'Donnell, Mona Fouad, David B. Goldstein, Philip Greenland, Scott J. Hebbring, Elizabeth W. Karlson, Parinda Khatri, Bruce Korf, Jordan W. Smoller, Stephen Sodeke, John Wilbanks, Justin Hentges, Stephen Mockrin, Christopher Lunt, Stephanie A. Devaney, Kelly Gebo, Joshua C. Denny, Robert J. Carroll, David Glazer, Paul A. Harris, George Hripcsak, Anthony A. Philippakis, Dan M. Roden

Patterns, 2022

Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction.

Ilkin Bayramli, Victor Castro, Yuval Barak-Corren, Emily M. Madsen, Matthew K. Nock, Jordan W. Smoller, Ben Y. Reis

npj Digit. Medicine, 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, Rachel Knevel

J. Am. Medical Informatics Assoc., 2022

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

Proceedings of the AMIA 2022, 2022

2021

Temporally informed random forests for suicide risk prediction.

Ilkin Bayramli, Victor Castro, Yuval Barak-Corren, Emily M. Madsen, Matthew K. Nock, Jordan W. Smoller, Ben Y. Reis

J. Am. Medical Informatics Assoc., 2021

2019

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.

Xinyuan Zhang, 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, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

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

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

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