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2020 – today
- 2023
[j6]Nick Strayer
, Siwei Zhang, Lydia Yao, Tess Vessels, Cosmin Adrian Bejan, Ryan S. Hsi, Jana K. Shirey-Rice, Justin M. Balko, Douglas B. Johnson, Elizabeth J. Phillips, Alex Bick, Todd L. Edwards, Digna R. Velez Edwards, Jill M. Pulley, Quinn Stanton Wells, Michael R. Savona, Nancy J. Cox, Dan M. Roden, Douglas M. Ruderfer, Yaomin Xu:
Interactive network-based clustering and investigation of multimorbidity association matrices with associationSubgraphs. Bioinform. 39(1) (2023)- [j5]Megan M. Shuey, William W. Stead, Ida Aka, April L. Barnado, Lisa Bastarache, Elly Brokamp, Meredith Campbell, Robert J. Carroll, Jeffrey A. Goldstein, Adam Lewis, Beth A. Malow, Jonathan D. Mosley, Travis Osterman, Dolly A Padovani-Claudio, Andrea Ramirez, Dan M. Roden, Bryce A Schuler, Edward Siew, Jennifer Sucre, Isaac Thomsen, Rory J. Tinker, Sara Van Driest, Colin Walsh, Jeremy L. Warner, Quinn Stanton Wells, Lee E. Wheless:
Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics. Bioinform. 39(10) (2023) - 2021
- [j4]Neil S. Zheng, Jeremy L. Warner, Travis J. Osterman, Quinn Stanton Wells, Xiao-Ou Shu, Stephen A. Deppen, Seth J. Karp, Shon Dwyer, QiPing Feng, Nancy J. Cox, Josh F. Peterson, C. Michael Stein, Dan M. Roden, Kevin B. Johnson, Wei-Qi Wei:
A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. J. Biomed. Informatics 113: 103657 (2021) - [j3]Sarah DeLozier, Sarah Bland, Melissa McPheeters, Quinn Stanton Wells, Eric Farber-Eger, Cosmin Adrian Bejan, Daniel Fabbri, S. Trent Rosenbloom, Dan M. Roden, Kevin B. Johnson, Wei-Qi Wei, Josh F. Peterson, Lisa Bastarache:
Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort. J. Biomed. Informatics 117: 103777 (2021) - [c2]Rebecca T. Levinson, Jennifer R. Malinowski, Luke V. Rasmussen, Suzette J. Bielinski, Véronique L. Roger, Quinn Stanton Wells, Laura K. Wiley:
Impact of Sex and Gender Disparities on Computational Phenotyping: A Potential Barrier to an Equitable Learning Health System. AMIA 2021 - 2020
- [c1]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John Jeffrey Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman:
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. ML-CDS/CLIP@MICCAI 2020: 13-23
2010 – 2019
- 2019
- [j2]Juan Zhao, Yun Zhang, David J. Schlueter, Patrick Wu, Vern Eric Kerchberger, S. Trent Rosenbloom, Quinn Stanton Wells, QiPing Feng, Joshua C. Denny, Wei-Qi Wei:
Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study. J. Biomed. Informatics 98 (2019) - 2014
- [j1]Quinn Stanton Wells, Eric Farber-Eger, Dana C. Crawford:
Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function. J. Clin. Bioinform. 4: 12 (2014)
Coauthor Index
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