| Locally informed simulation to predict hospital capacity needs during the COVID-19 pandemic GE Weissman, A Crane-Droesch, C Chivers, TB Luong, A Hanish, ... Annals of internal medicine 173 (1), 21-28, 2020 | 337 | 2020 |
| A reinforcement learning approach to weaning of mechanical ventilation in intensive care units N Prasad, LF Cheng, C Chivers, M Draugelis, BE Engelhardt arXiv preprint arXiv:1704.06300, 2017 | 216 | 2017 |
| A machine learning algorithm to predict severe sepsis and septic shock: development, implementation, and impact on clinical practice HM Giannini, JC Ginestra, C Chivers, M Draugelis, A Hanish, ... Critical care medicine 47 (11), 1485-1492, 2019 | 205 | 2019 |
| Machine learning approaches to predict 6-month mortality among patients with cancer RB Parikh, C Manz, C Chivers, SH Regli, J Braun, ME Draugelis, ... JAMA network open 2 (10), e1915997-e1915997, 2019 | 193 | 2019 |
| Clinician perception of a machine learning–based early warning system designed to predict severe sepsis and septic shock JC Ginestra, HM Giannini, WD Schweickert, L Meadows, MJ Lynch, ... Critical care medicine 47 (11), 1477-1484, 2019 | 136 | 2019 |
| Sparse multi-output Gaussian processes for online medical time series prediction LF Cheng, B Dumitrascu, G Darnell, C Chivers, M Draugelis, K Li, ... BMC medical informatics and decision making 20, 1-23, 2020 | 98 | 2020 |
| Validation of a machine learning algorithm to predict 180-day mortality for outpatients with cancer CR Manz, J Chen, M Liu, C Chivers, SH Regli, J Braun, M Draugelis, ... JAMA oncology 6 (11), 1723-1730, 2020 | 88 | 2020 |
| Electronic health record mortality prediction model for targeted palliative care among hospitalized medical patients: a pilot quasi-experimental study KR Courtright, C Chivers, M Becker, SH Regli, LC Pepper, ME Draugelis, ... Journal of general internal medicine 34, 1841-1847, 2019 | 67 | 2019 |
| Why is the electronic health record so challenging for research and clinical care? JH Holmes, J Beinlich, MR Boland, KH Bowles, Y Chen, TS Cook, ... Methods of information in medicine 60 (01/02), 032-048, 2021 | 41 | 2021 |
| Methods and systems for prioritizing network assets M Draugelis US Patent 8,533,319, 2013 | 33 | 2013 |
| Clinical impact of an electronic dashboard and alert system for sedation minimization and ventilator liberation: a before-after study BJ Anderson, D Do, C Chivers, K Choi, Y Gitelman, SJ Mehta, ... Critical care explorations 1 (10), e0057, 2019 | 21 | 2019 |
| Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations EJ MacKay, MD Stubna, C Chivers, ME Draugelis, WJ Hanson, ND Desai, ... PLoS One 16 (6), e0252585, 2021 | 19 | 2021 |
| Development and implementation of a machine-learning algorithm for early identification of sepsis in a multi-hospital academic healthcare system HM Giannini, C Chivers, M Draugelis, A Hanish, B Fuchs, P Donnelly, ... D15. CRITICAL CARE: DO WE HAVE A CRYSTAL BALL? PREDICTING CLINICAL …, 2017 | 11 | 2017 |
| Patient-specific effects of medication using latent force models with Gaussian processes LF Cheng, B Dumitrascu, M Zhang, C Chivers, M Draugelis, K Li, ... International Conference on Artificial Intelligence and Statistics, 4045-4055, 2020 | 7 | 2020 |
| Forecasting PPE consumption during a pandemic: the case of Covid-19 K Lum, J Johndrow, A Cardone, B Fuchs, CE Cotner, O Jew, RB Parikh, ... MedRxiv, 2020.08. 20.20178780, 2020 | 6 | 2020 |
| A reinforcement learning approach to weaning of mechanical ventilation in intensive care units. arXiv. 2017 N Prasad, LF Cheng, C Chivers, M Draugelis, BE Engelhardt arXiv preprint arXiv:1704.06300, 2019 | 6 | 2019 |
| Remote monitoring of critically-ill post-surgical patients: Lessons from a biosensor implementation trial M Restrepo, AM Huffenberger, CW Hanson III, M Draugelis, K Laudanski Healthcare 9 (3), 343, 2021 | 5 | 2021 |
| Development of a trigger tool for identifying emergency department visits in patients with lung cancer J Vogel, TL Evans, J Braun, A Hanish, M Draugelis, S Regli, M Becker, ... International Journal of Radiation Oncology, Biology, Physics 99 (2), S117, 2017 | 5 | 2017 |
| Forecasting PPE Consumption during a Pandemic: The Case of Covid-19 [Preprint]. Infectious Diseases (except HIV/AIDS) K Lum, J Johndrow, A Cardone, B Fuchs, C Cotner, O Jew, R Parikh, ... | 4 | 2020 |
| Guiding efficient, effective, and patient-oriented electrolyte replacement in critical care: an artificial intelligence reinforcement learning approach N Prasad, A Mandyam, C Chivers, M Draugelis, CW Hanson III, ... Journal of Personalized Medicine 12 (5), 661, 2022 | 3 | 2022 |
