Clifford, Gari D.
Emory University
19 papers on CoChatORCID 0000-0002-5709-201X
Most cited papers
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Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*
Saeed, M., Villarroel, M., Reisner, A. T., Clifford, G., Lehman, L.-W., Moody, G., Heldt, T., Kyaw, T. H., Moody, B., & Mark, R. G. (2011) · Critical Care Medicine
Healthcare Technology and Patient MonitoringSepsis Diagnosis and Treatment
Cited by 1,162
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An interpretable machine learning model for accurate prediction of sepsis in the ICU
Nemati, S., Holder, A., Razmi, F., Stanley, M. D., Clifford, G. D., & Buchman, T. G. (2018) · Critical Care Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 832
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Automated de-identification of free-text medical records
Neamatullah, I., Douglass, M. M., Lehman, L.-W. H., Reisner, A., Villarroel, M., Long, W. J., Szolovits, P., Moody, G. B., Mark, R. G., & Clifford, G. D. (2008) · BMC Medical Informatics and Decision Making
Privacy-Preserving Technologies in DataThoreau and American Literature
Cited by 413
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Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019
Reyna, M. A., Josef, C. S., Jeter, R., Shashikumar, S. P., Westover, M. B., Nemati, S., Clifford, G. D., & Sharma, A. (2020) · Critical Care Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 383
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Dynamic time warping and machine learning for signal quality assessment of pulsatile signals
Li, Q., & Clifford, G. D. (2012) · Physiological Measurement
Non-Invasive Vital Sign MonitoringECG Monitoring and Analysis
Cited by 274
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Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approach
Nemati, S., Ghassemi, M. M., & Clifford, G. D. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 195
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Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics
Shashikumar, S. P., Stanley, M. D., Sadiq, I., Li, Q., Holder, A., Clifford, G. D., & Nemati, S. (2017) · Journal of Electrocardiology
Sepsis Diagnosis and TreatmentHeart Rate Variability and Autonomic Control
Cited by 167
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Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder
Tsanas, A., Saunders, K. E. A., Bilderbeck, A. C., Palmius, N., Osipov, M., Clifford, G. D., Goodwin, G. Μ., & De Vos, M. (2016) · Journal of Affective Disorders
Bipolar Disorder and TreatmentMental Health Research Topics
Cited by 162
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A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses
Reinertsen, E., & Clifford, G. D. (2018) · Physiological Measurement
Context-Aware Activity Recognition SystemsEmotion and Mood Recognition
Cited by 136
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SMARTHealth India: development and field evaluation of a mobile clinical decision support system for cardiovascular diseases in rural India
Praveen, D., Patel, A., Raghu, A., Clifford, G. D., Maulik, P. K., Mohammad Abdul, A., Mogulluru, K., Tarassenko, L., MacMahon, S., & Peiris, D. (2014) · JMIR mHealth and uHealth
Mobile Health and mHealth ApplicationsElectronic Health Records Systems
Cited by 131
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Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study
Raghu, A., Praveen, D., Peiris, D., Tarassenko, L., & Clifford, G. (2015) · BMC Medical Informatics and Decision Making
Mobile Health and mHealth ApplicationsICT in Developing Communities
Cited by 89
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Remote health monitoring and diagnosis in the time of COVID-19
Behar, J. A., Liu, C., Kotzen, K., Tsutsui, K., Corino, V. D. A., Singh, J., Pimentel, M. A. F., Warrick, P., Zaunseder, S., Andreotti, F., et al. (2020) · arXiv
Telemedicine and Telehealth ImplementationNon-Invasive Vital Sign Monitoring
Cited by 86
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Remote health diagnosis and monitoring in the time of COVID-19
Behar, J. A., Liu, C., Kotzen, K., Tsutsui, K., Corino, V. D. A., Singh, J., Pimentel, M. A. F., Warrick, P., Zaunseder, S., Andreotti, F., et al. (2020) · Physiological Measurement
Telemedicine and Telehealth ImplementationNon-Invasive Vital Sign Monitoring
Cited by 86
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Persistent Dissociation and Its Neural Correlates in Predicting Outcomes After Trauma Exposure
Lebois, L. A. M., Harnett, N. G., van Rooij, S. J. H., Ely, T. D., Jovanovic, T., Bruce, S. E., House, S. L., Ravichandran, C., Dumornay, N. M., Finegold, K. E., et al. (2022) · American Journal of Psychiatry
Psychosomatic Disorders and Their TreatmentsPosttraumatic Stress Disorder Research
Cited by 60
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Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions
Jiang, Z., Harati, S., Crowell, A., Mayberg, H. S., Nemati, S., & Clifford, G. D. (2021) · IEEE Transactions on Biomedical Engineering
Emotion and Mood RecognitionFace recognition and analysis
Cited by 60
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Feasibility of Single Channel Oximetry for Mass Screening of Obstructive Sleep Apnea
Behar, J. A., Palmius, N., Li, Q., Garbuio, S., Rizzatti, F. P. G., Bittencourt, L., Tufik, S., & Clifford, G. D. (2019) · EClinicalMedicine
Obstructive Sleep Apnea ResearchNon-Invasive Vital Sign Monitoring
Cited by 37
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First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage
Clark, I. A., Niehaus, K. E., Duff, E. P., Di Simplicio, M. C., Clifford, G. D., Smith, S. M., Mackay, C. E., Woolrich, M. W., & Holmes, E. A. (2014) · Behaviour Research and Therapy
Posttraumatic Stress Disorder ResearchMemory Processes and Influences
Cited by 37
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Hypoglossal Nerve Stimulation and Heart Rate Variability: Analysis of STAR Trial Responders
Dedhia, R. C., Shah, A. J., Bliwise, D. L., Quyyumi, A. A., Strollo, P. J., Li, Q., Da Poian, G., & Clifford, G. D. (2019) · Otolaryngology–Head and Neck Surgery
Obstructive Sleep Apnea ResearchHeart Rate Variability and Autonomic Control
Cited by 30
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An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients
Kwon, H., Clifford, G. D., Genias, I., Bernhard, D., Esper, C. D., Factor, S. A., & McKay, J. L. (2023) · Sensors
Balance, Gait, and Falls PreventionDeep Brain Stimulation and Movement Disorders
Cited by 24
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