Glenn Gobbel
Affiliations: | Biomedical Informatics | Vanderbilt University School of Medicine, Nashville, TN, United States |
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"Glenn Gobbel"Parents
Sign in to add mentorSteven Brown | post-doc | Vanderbilt Medical School | ||
Michael E Matheny | post-doc | 2010-2013 | Vanderbilt Medical School | |
(https://ir.vanderbilt.edu/handle/1803/15037) |
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Publications
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Friberg JE, Qazi AH, Boyle B, et al. (2022) Ankle- and Toe-Brachial Index for Peripheral Artery Disease Identification: Unlocking Clinical Data Through Novel Methods. Circulation. Cardiovascular Interventions. CIRCINTERVENTIONS121 |
Gobbel GT, Matheny ME, Reeves RR, et al. (2022) Leveraging structured and unstructured electronic health record data to detect reasons for suboptimal statin therapy use in patients with atherosclerotic cardiovascular disease. American Journal of Preventive Cardiology. 9: 100300 |
Jia X, Lee MT, Ramsey DJ, et al. (2021) Association of patient, provider and facility related characteristics with statin associated side effects and statin use: Insight from the veteran's affairs healthcare system. Journal of Clinical Lipidology |
Reeves R, Christensen L, Brown JR, et al. (2021) Adaptation of an NLP System to a New Healthcare Environment to Identify Social Determinants of Health. Journal of Biomedical Informatics. 103851 |
Jia X, Lee MT, Ramsey DJ, et al. (2021) Facility-Level Variation in Reported Statin-Associated Side Effects Among Patients with Atherosclerotic Cardiovascular Disease-Perspective from the Veterans Affair Healthcare System. Cardiovascular Drugs and Therapy |
FitzHenry F, Eden SK, Denton J, et al. (2020) Prevalence and Risk Factors for Opioid-Induced Constipation in an Older National Veteran Cohort. Pain Research & Management. 2020: 5165682 |
Parr SK, Gobbel GT. (2020) Considerations for advancing nephrology research and practice through natural language processing. Kidney International. 97: 263-265 |
Virani SS, Akeroyd JM, Ahmed ST, et al. (2019) The use of structured data elements to identify ASCVD patients with statin-associated side effects: Insights from the Department of Veterans Affairs. Journal of Clinical Lipidology |
Levy AE, Shah NR, Matheny ME, et al. (2018) Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools. Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology |
Garvin JH, Kim Y, Gobbel GT, et al. (2018) Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. Jmir Medical Informatics. 6: e5 |