Michael Draugelis
Michael Draugelis
Verified email at pennmedicine.upenn.edu - Homepage
Title
Cited by
Cited by
Year
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
1442020
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
1062017
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, ...
Read Online: Critical Care Medicine| Society of Critical Care Medicine 47 …, 2019
532019
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
412019
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, 2019
332019
Sparse multi-output Gaussian processes for medical time series prediction
LF Cheng, G Darnell, B Dumitrascu, C Chivers, ME Draugelis, K Li, ...
arXiv preprint arXiv:1703.09112, 2017
312017
Methods and systems for prioritizing network assets
M Draugelis
US Patent 8,533,319, 2013
212013
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 (9), 1841-1847, 2019
172019
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
82020
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
82017
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), 1-23, 2020
22020
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
12020
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
12017
D15 Critical Care: Do We Have A Crystal Ball? Predicting Clinical Deterioration and Outcome in Critically Ill Patients: Development And Implementation Of A Machine-Learning …
HM Giannini, C Chivers, M Draugelis, A Hanish, B Fuchs, P Donnelly, ...
American Journal of Respiratory and Critical Care Medicine 195, 2017
12017
In Response to,“Development, Implementation and Impact of an Automated Early Warning and Response System for Sepsis”
CA Umscheid, C Chivers, J Bleich, M Draugelis
Journal of hospital medicine 10 (5), 341, 2015
12015
Remote Monitoring of Critically-Ill Post-Surgical Patients: Lessons from a Biosensor Implementation Trial
M Restrepo, AM Huffenberger, CW Hanson, M Draugelis, K Laudanski
Healthcare 9 (3), 343, 2021
2021
The importance of modeling patient state in reinforcement learning for precision medicine
BE Engelhardt, N Prasad, LF Cheng, C Chivers, M Draugelis, K Li, ...
2021
Electronically Triggered Hospital-Based Palliative Care: Patient and Clinician Perspectives (RP509)
K Courtright, S Szymanski, S Hyder, G Weissman, W Eriksen, C Bocage, ...
Journal of Pain and Symptom Management 60 (1), 233-234, 2020
2020
Prospective validation of a machine learning algorithm to predict short-term mortality among outpatients with cancer.
C Manz, C Chivers, M Liu, SB Regli, S Changolkar, CN Evans, ...
Journal of Clinical Oncology 38 (15_suppl), 2009-2009, 2020
2020
Forecasting PPE Consumption during a Pandemic: The Case of Covid-19
K Lum, J Johndrow, A Cardone, B Fuchs, C Cotner, O Jew, R Parikh, ...
medRxiv, 2020
2020
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