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Author Details

Artur Dubrawski
Carnegie Mellon University
2008
32
11
PMIDPaper TitleJournal TitlePublished Year
35308938Weak Supervision for Affordable Modeling of Electrocardiogram Data.AMIA Annu Symp Proc2022
33558981Accuracy of identifying hospital acquired venous thromboembolism by administrative coding: implications for big data and machine learning research.J Clin Monit Comput2022
33367518Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance.Clin Infect Dis2021
33910179The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care.Physiol Meas2021
33690687Using machine learning to improve risk prediction in durable left ventricular assist devices.PLoS One2021
34658259Supplementing Existing Societal Risk Models for Surgical Aortic Valve Replacement With Machine Learning for Improved Prediction.J Am Heart Assoc2021
33460387Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks.IEEE J Biomed Health Inform2021
32287125Parsimony of Hemodynamic Monitoring Data Sufficient for the Detection of Hemorrhage.Anesth Analg2020
33234161Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit.Crit Care2020
30689648Predicting neurological recovery with Canonical Autocorrelation Embeddings.PLoS One2019
36407812Dynamically Personalized Detection of Hemorrhage.Proc Mach Learn Res2019
31796483Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study.BMJ Open2019
32166238Increasing Cardiovascular Data Sampling Frequency and Referencing It to Baseline Improve Hemorrhage Detection.Crit Care Explor2019
30773168Automated data mining of the electronic health record for investigation of healthcare-associated outbreaks.Infect Control Hosp Epidemiol2019
30771483Statistical outbreak detection by joining medical records and pathogen similarity.J Biomed Inform2019
30767136Predicting tachycardia as a surrogate for instability in the intensive care unit.J Clin Monit Comput2019
28229353Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change.J Clin Monit Comput2018
30077422A call to alarms: Current state and future directions in the battle against alarm fatigue.J Electrocardiol2018
27274020Learning temporal rules to forecast instability in continuously monitored patients.J Am Med Inform Assoc2017
28119497Risk for Cardiorespiratory Instability Following Transfer to a Monitored Step-Down Unit.Respir Care2017
28033032Dynamic and Personalized Risk Forecast in Step-Down Units. Implications for Monitoring Paradigms.Ann Am Thorac Soc2017
26992068Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data.Crit Care Med2016
26438655Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.J Clin Monit Comput2016
25637693Temporal distribution of instability events in continuously monitored step-down unit patients: implications for Rapid Response Systems.Resuscitation2015
26958283Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process.AMIA Annu Symp Proc2015
25068389Gleaning knowledge from data in the intensive care unit.Am J Respir Crit Care Med2014
25221381Automatic Identification of Artifacts in Monitoring Critically Ill Patients.Intensive Care Med2013
25506122LEARNING TEMPORAL RULES TO FORECAST INSTABILITY IN INTENSIVE CARE PATIENTS.Intensive Care Med2013
25506121Artifact Patterns in Continuous Noninvasive Monitoring of Patients.Intensive Care Med2013
18999071Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data.AMIA Annu Symp Proc2008
18999085Learning detectors of events in multivariate time series.AMIA Annu Symp Proc2008
18999088T-Cube Web Interface: a tool for immediate visualization, interactive manipulation and analysis of large sets of multivariate time series.AMIA Annu Symp Proc2008
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Collaborators

Michael R Pinsky
University of Pittsburgh
Co-authored papers 21
G Clermont
University of Pittsburgh
Co-authored papers 18
Marilyn Hravnak
University of Pittsburgh
Co-authored papers 15
Lujie Chen
Carnegie Mellon University
Co-authored papers 14
Eliezer Bose
MGH Institute of Health Professions
Co-authored papers 6
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Carnegie Mellon University
Co-authored papers 5
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University of Pittsburgh Medical Center
Co-authored papers 4
Anthony Wertz
The Robotics Institute, Carnegie Mellon University
Co-authored papers 4
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University of Pittsburgh
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Madalina Fiterau
College of Information & Computer Sciences at University of Massachusetts Amherst
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Dianxu Ren
University of Pittsburgh
Co-authored papers 2
Leslie A Hoffman
Indiana University
Co-authored papers 2
Graham M Snyder
University of Pittsburgh School of Medicine
Co-authored papers 2
Donghan Wang
Robotics Institute, Carnegie Mellon University
Co-authored papers 2
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University of Pittsburgh
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Carnegie Mellon University
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Rema Padman
Carnegie Mellon University.
Co-authored papers 1
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University of Texas at Austin
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Douglas E Lake
University of Virginia School of Medicine
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Jane Guttendorf
University of Pittsburgh School of Nursing
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Olufunmilayo Ogundele
Sinai Hospital Baltimore
Co-authored papers 1
Andre L Holder
Emory University
Co-authored papers 1
David J Wallace
University of Pittsburgh School of Medicine
Co-authored papers 1
Ryan Bobko
Center for Advanced Medical Analytics, University of Virginia
Co-authored papers 1
Vincent Jeanselme
Carnegie Mellon University
Co-authored papers 1
Philip N Johnson-Laird
Queen's University
Co-authored papers 1
Alexander Hamilton
Queen's University
Co-authored papers 1
Peter Huggins
Carnegie Mellon University
Co-authored papers 1
David M Shahian
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Release 1.2