Glenn Gobbel

Affiliations: 
Biomedical Informatics Vanderbilt University School of Medicine, Nashville, TN, United States 
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"Glenn Gobbel"

Parents

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Steven 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
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