Brandt, Cynthia
Yale University
21 papers on CoChatORCID 0000-0001-8179-1796
Most cited papers
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Safety of Sports for Athletes With Implantable Cardioverter-Defibrillators: Results of a Prospective, Multinational Registry
Lampert, R., Olshansky, B., Heidbuchel, H., Lawless, C., Saarel, E., Ackerman, M., Calkins, H., Estes, N. A. M., Link, M. S., Maron, B. J., et al. (2013) · Circulation
Cardiovascular Effects of ExerciseCardiac pacing and defibrillation studies
Cited by 286
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Increased Risk of Fragility Fractures among HIV Infected Compared to Uninfected Male Veterans
Womack, J. A., Goulet, J. L., Gibert, C., Brandt, C., Chang, C. C., Gulanski, B., Fraenkel, L., Mattocks, K., Rimland, D., Rodriguez-Barradas, M. C., et al. (2011) · PLoS ONE
HIV-related health complications and treatmentsBone health and osteoporosis research
Cited by 261
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The musculoskeletal diagnosis cohort: examining pain and pain care among veterans
Goulet, J. L., Kerns, R. D., Bair, M., Becker, W. C., Brennan, P., Burgess, D. J., Carroll, C. M., Dobscha, S., Driscoll, M. A., Fenton, B. T., et al. (2016) · Pain
Musculoskeletal pain and rehabilitationPain Management and Opioid Use
Cited by 174
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Persistent pain and comorbidity among Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn veterans
Higgins, D. M., Kerns, R. D., Brandt, C. A., Haskell, S. G., Bathulapalli, H., Gilliam, W., & Goulet, J. L. (2014) · Pain Medicine
Musculoskeletal pain and rehabilitationOccupational Health and Performance
Cited by 168
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Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Sangha, V., Nargesi, A. A., Dhingra, L. S., Khunte, A., Mortazavi, B. J., Ribeiro, A. H., Banina, E., Adeola, O., Garg, N., Brandt, C. A., et al. (2023) · Circulation
ECG Monitoring and AnalysisArtificial Intelligence in Healthcare
Cited by 150
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Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images
Sangha, V., Nargesi, A. A., Dhingra, L. S., Khunte, A., Mortazavi, B. J., Ribeiro, A. H., Banina, E., Adeola, O., Garg, N., Brandt, C. A., et al. (2022) · Circulation
ECG Monitoring and AnalysisArtificial Intelligence in Healthcare
Cited by 150
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Prevalence of Painful Musculoskeletal Conditions in Female and Male Veterans in 7 Years After Return From Deployment in Operation Enduring Freedom/Operation Iraqi Freedom
Haskell, S. G., Ning, Y., Krebs, E., Goulet, J., Mattocks, K., Kerns, R., & Brandt, C. (2012) · The Clinical Journal of Pain
Occupational Health and PerformanceMusculoskeletal pain and rehabilitation
Cited by 137
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Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Khunte, A., Sangha, V., Oikonomou, E. K., Dhingra, L. S., Aminorroaya, A., Mortazavi, B. J., Coppi, A., Brandt, C. A., Krumholz, H. M., & Khera, R. (2023) · npj Digital Medicine
ECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring
Cited by 95
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Triggering of Symptomatic Atrial Fibrillation by Negative Emotion
Lampert, R., Jamner, L., Burg, M., Dziura, J., Brandt, C., Liu, H., Li, F., Donovan, T., & Soufer, R. (2014) · Journal of the American College of Cardiology
Atrial Fibrillation Management and OutcomesCardiac electrophysiology and arrhythmias
Cited by 90
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New media use by patients who are homeless: the potential of mHealth to build connectivity
Post, L. A., Vaca, F. E., Doran, K. M., Luco, C., Naftilan, M., Dziura, J., Brandt, C., Bernstein, S., Jagminas, L., & D'Onofrio, G. (2013) · Journal of Medical Internet Research
Mobile Health and mHealth ApplicationsHomelessness and Social Issues
Cited by 71
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Personal health record reach in the Veterans Health Administration: a cross-sectional analysis
Shimada, S. L., Brandt, C. A., Feng, H., McInnes, D. K., Rao, S. R., Rothendler, J. A., Haggstrom, D. A., Abel, E. A., Cioffari, L. S., & Houston, T. K. (2014) · Journal of Medical Internet Research
Electronic Health Records SystemsHealth Literacy and Information Accessibility
Cited by 48
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Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis
Abel, E. A., Shimada, S. L., Wang, K., Ramsey, C., Skanderson, M., Erdos, J., Godleski, L., Houston, T. K., & Brandt, C. A. (2018) · Journal of Medical Internet Research
Telemedicine and Telehealth ImplementationElectronic Health Records Systems
Cited by 42
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Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research
Hamid, H., Fodeh, S. J., Lizama, A. G., Czlapinski, R., Pugh, M. J., LaFrance, W. C., & Brandt, C. A. (2013) · Epilepsy & Behavior
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 42
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Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders
Ash, G. I., Stults-Kolehmainen, M., Busa, M. A., Gaffey, A. E., Angeloudis, K., Muniz-Pardos, B., Gregory, R., Huggins, R. A., Redeker, N. S., Weinzimer, S. A., et al. (2021) · Sports Medicine
Mobile Health and mHealth ApplicationsPhysical Activity and Health
Cited by 41
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Natural language processing of clinical documentation to assess functional status in patients with heart failure
Adejumo, P., Thangaraj, P. M., Dhingra, L. S., Aminorroaya, A., Zhou, X., Brandt, C., Xu, H., Krumholz, H. M., & Khera, R. (2024) · JAMA Network Open
Nursing Diagnosis and DocumentationMachine Learning in Healthcare
Cited by 36
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Implementing and Sustaining Team-Based Telecare for Bipolar Disorder: Lessons Learned from a Model-Guided, Mixed Methods Analysis
Bauer, M. S., Krawczyk, L., Tuozzo, K., Frigand, C., Holmes, S., Miller, C. J., Abel, E., Osser, D. N., Franz, A., Brandt, C., et al. (2018) · Telemedicine and e-Health
Telemedicine and Telehealth ImplementationHealth Policy Implementation Science
Cited by 31
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Social determinants of health extraction from clinical notes across institutions using large language models
Keloth, V. K., Selek, S., Chen, Q., Gilman, C., Fu, S., Dang, Y., Chen, X., Hu, X., Zhou, Y., He, H., et al. (2025) · npj Digital Medicine
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 24
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NIH-DOD-VA Pain Management Collaboratory: Pragmatic Clinical Trials of Nonpharmacological Approaches for Management of Pain and Co-occurring Conditions in Veteran and Military Health Systems: Introduction
Kerns, R. D., & Brandt, C. A. (2020) · Pain Medicine
Musculoskeletal pain and rehabilitationPain Management and Opioid Use
Cited by 24
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Reducing annotation burden through multimodal learning
Lopez, K., Fodeh, S. J., Allam, A., Brandt, C. A., & Krauthammer, M. (2020) · Frontiers in Big Data
Multimodal Machine Learning ApplicationsRadiomics and Machine Learning in Medical Imaging
Cited by 21
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Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods
Han, L., Goulet, J. L., Skanderson, M., Bathulapalli, H., Luther, S. L., Kerns, R. D., & Brandt, C. A. (2019) · Pain Medicine
Complementary and Alternative Medicine StudiesMusculoskeletal pain and rehabilitation
Cited by 18
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Identifying incarceration status in the electronic health record using large language models in emergency department settings
Huang, T., Socrates, V., Gilson, A., Safranek, C., Chi, L., Wang, E. A., Puglisi, L. B., Brandt, C., Taylor, R. A., & Wang, K. (2024) · Journal of Clinical and Translational Science
Machine Learning in HealthcareCriminal Justice and Corrections Analysis
Cited by 12
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