Joseph L. Greenstein, Ph.D.
Affiliations: | 2002 | Johns Hopkins University, Baltimore, MD |
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"Joseph Greenstein"Parents
Sign in to add mentorRaimond L. Winslow | grad student | 2002 | Johns Hopkins | |
(Local control of calcium release and its implications for cardiac myocyte properties.) |
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Publications
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Jin Q, Greenstein JL, Winslow RL. (2023) Estimating the probability of early afterdepolarizations and predicting arrhythmic risk associated with long QT syndrome type 1 mutations. Biophysical Journal. 122: 4042-4056 |
Bose SN, Defante A, Greenstein JL, et al. (2023) A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients. Plos One. 18: e0289763 |
Tan Y, Young M, Girish A, et al. (2023) Predicting respiratory decompensation in mechanically ventilated adult ICU patients. Frontiers in Physiology. 14: 1125991 |
Gong KD, Lu R, Bergamaschi TS, et al. (2022) Predicting Intensive Care Delirium with Machine Learning: Model Development and External Validation. Anesthesiology |
Wagle N, Morkos J, Liu J, et al. (2022) aEYE: A deep learning system for video nystagmus detection. Frontiers in Neurology. 13: 963968 |
Kim HB, Nguyen HT, Jin Q, et al. (2021) Computational Signatures for Post-Cardiac Arrest Trajectory Prediction: Importance of Early Physiological Time Series. Anaesthesia, Critical Care & Pain Medicine. 101015 |
Annapragada AV, Greenstein JL, Bose SN, et al. (2021) SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction. Plos Computational Biology. 17: e1009712 |
Krachman JA, Patricoski JA, Le CT, et al. (2021) Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning. Frontiers in Pediatrics. 9: 734753 |
Jin Q, Greenstein JL, Winslow RL. (2021) Estimating ectopic beat probability with simplified statistical models that account for experimental uncertainty. Plos Computational Biology. 17: e1009536 |
Bose SN, Greenstein JL, Fackler JC, et al. (2021) Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit. Frontiers in Pediatrics. 9: 711104 |