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Jordan W. Smoller
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2020 – today
- 2023
- [j8]Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller:
AI-assisted prediction of differential response to antidepressant classes using electronic health records. npj Digit. Medicine 6 (2023) - 2022
- [j7]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:
A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. J. Am. Medical Informatics Assoc. 29(5): 761-769 (2022) - [j6]Ilkin Bayramli, Victor Castro, Yuval Barak-Corren, Emily M. Madsen, Matthew K. Nock, Jordan W. Smoller, Ben Y. Reis:
Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction. npj Digit. Medicine 5 (2022) - [j5]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:
The All of Us Research Program: Data quality, utility, and diversity. Patterns 3(8): 100570 (2022) - [c2]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:
A SMART on FHIR Application to Improve Suicide Risk Prediction and Management. AMIA 2022 - 2021
- [j4]Ilkin Bayramli, Victor Castro, Yuval Barak-Corren, Emily M. Madsen, Matthew K. Nock, Jordan W. Smoller, Ben Y. Reis:
Temporally informed random forests for suicide risk prediction. J. Am. Medical Informatics Assoc. 29(1): 62-71 (2021)
2010 – 2019
- 2019
- [c1]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:
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB 2019: 272-283 - 2018
- [j3]Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai, Michelle A. Williams:
Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Medical Informatics Decis. Mak. 18(1): 30:1-30:11 (2018) - 2015
- [j2]Tian Ge, Thomas E. Nichols, Debashis Ghosh, Elizabeth C. Mormino, Jordan W. Smoller, Mert R. Sabuncu:
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application. NeuroImage 109: 505-514 (2015) - [j1]Mei-Hua Hall, J. Eric Jensen, Fei Du, Jordan W. Smoller, Lauren O'Connor, Kevin M. Spencer, Dost Öngür:
Frontal P3 event-related potential is related to brain glutamine/glutamate ratio measured in vivo. NeuroImage 111: 186-191 (2015)
Coauthor Index
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