| Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care J Dong, T Feng, B Thapa-Chhetry, BG Cho, T Shum, DP Inwald, ... Critical Care 25 (1), 288, 2021 | 68 | 2021 |
| An ensemble boosting model for predicting transfer to the pediatric intensive care unit J Rubin, C Potes, M Xu-Wilson, J Dong, A Rahman, H Nguyen, ... International journal of medical informatics 112, 15-20, 2018 | 58 | 2018 |
| Early prediction of hemodynamic interventions in the intensive care unit using machine learning A Rahman, Y Chang, J Dong, B Conroy, A Natarajan, T Kinoshita, ... Critical Care 25, 1-9, 2021 | 17 | 2021 |
| The association between ventilatory ratio and mortality in children and young adults AK Bhalla, J Dong, MJ Klein, RG Khemani, CJL Newth Respiratory Care 66 (2), 205-212, 2021 | 13 | 2021 |
| Cortical transformation of spatial processing for solving the cocktail party problem: a computational model J Dong, HS Colburn, K Sen eneuro 3 (1), 2016 | 13 | 2016 |
| Association of systolic, diastolic, mean, and pulse pressure with morbidity and mortality in septic ICU patients: a nationwide observational study AK Khanna, T Kinoshita, A Natarajan, E Schwager, DD Linn, J Dong, ... Annals of Intensive Care 13 (1), 9, 2023 | 12 | 2023 |
| A physiologically inspired model for solving the cocktail party problem KF Chou, J Dong, HS Colburn, K Sen Journal of the Association for Research in Otolaryngology 20 (6), 579-593, 2019 | 6 | 2019 |
| Early prediction of cardiogenic shock using machine learning Y Chang, C Antonescu, S Ravindranath, J Dong, M Lu, F Vicario, ... Frontiers in Cardiovascular Medicine 9, 862424, 2022 | 3 | 2022 |
| Auditory signal processor using spiking neural network and stimulus reconstruction with top-down attention control K Sen, HS Colburn, J Dong, KFH Chou US Patent 10,536,775, 2020 | 2 | 2020 |
| A computational model of spatial tuning in the auditory cortex in response to competing sound sources J Dong, HS Colburn, K Sen Proceedings of Meetings on Acoustics 19 (1), 2013 | 1 | 2013 |
| A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections E Harvey, J Dong, E Ghosh, A Samadani arXiv preprint arXiv:2311.09329, 2023 | | 2023 |
| System to identify and explore relevant predictive analytics tasks of clinical value and calibrate predictive model outputs to a prescribed minimum level of predictive accuracy B Conroy, J Dong, M Xu US Patent 11,651,289, 2023 | | 2023 |
| Classification of shock type of a subject J Dong, Y Chang US Patent App. 17/982,801, 2023 | | 2023 |
| Continuous noninvasive blood gas estimation in critically ill pediatric patients with respiratory failure J Dong, M Xu-Wilson, BR Conroy, RG Khemani, CJL Newth Scientific Reports 12 (1), 9853, 2022 | | 2022 |
| MACHINE LEARNING FOR EARLY PREDICTION OF CARDIOGENIC SHOCK Y Chang, C Antonescu, SR Ravindranath, J Dong, MY Lu, F Vicario, ... Journal of the American College of Cardiology 79 (9_Supplement), 278-278, 2022 | | 2022 |
| Location-procedure embedding based method for patient in-hospital location and procedure prediction L Xu, J Dong US Patent App. 16/868,597, 2020 | | 2020 |
| The Association Between Ventilatory Ratio and Mortality in PARDS J Dong, CJ Newth, AK Bhalla A25. CRITICAL CARE: THE WIND IN THE WILLOWS-ARDS: OF SWINE AND MEN, A1139-A1139, 2019 | | 2019 |
| Noninvasive Estimation of Blood pH in Critically Ill Pediatric Patients with Respiratory Failure CJ Newth, J Dong, M Xu-Wilson, B Conroy, RG Khemani A103. CRITICAL CARE: AS YOU LIKE IT-ICU MANAGEMENT AND PROCESSES OF CARE …, 2019 | | 2019 |
| 1469: A REAL-TIME PEDIATRIC ACUTE KIDNEY INJURY PREDICTION ALGORITHM J Dong, B Thapa-Chhetry, BG Cho, C Newth Critical Care Medicine 47 (1), 710, 2019 | | 2019 |
| Physiology-based model of multi-source auditory processing J Dong Boston University, 2017 | | 2017 |
