Identification of Sufferers of Rare Diseases Using Medical Claims Data

Por Chen, Jieshi, Dubrawski, Artur
Publicado no Online J Public Health Inform (2017)

Gleaning Knowledge from Data in the Intensive Care Unit

Por Pinsky, Michael R., Dubrawski, Artur
Publicado em 2014

Learning Detectors of Events in Multivariate Time Series

Por Roure, Josep, Dubrawski, Artur, Schneider, Jeff
Publicado em 2008

Searching for Complex Patterns Using Disjunctive Anomaly Detection

Por Sabhnani, Maheshkumar, Dubrawski, Artur, Schneider, Jeff
Publicado em 2013

Utility of Potential Misdiagnoses in Predicting Foodborne Outbreaks

Por Lucia, Lucia, Dubrawski, Artur, Chen, Lujie
Publicado em 2014

Patterns of Emergency Care Utilization by Chronically Ill

Por Wang, Yue, Dubrawski, Artur, Chen, Lujie, McDermitt, Ryan
Publicado em 2014

Temporal distribution of instability events in continuously monitored step-down unit patients: Implications for Rapid Response Systems

Por Hravnak, Marilyn, Chen, Lujie, Dubrawski, Artur, Bose, Eliezer, Pinsky, Michael R.
Publicado no Resuscitation (2015)

Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process

Por Chen, Lujie, Dubrawski, Artur, Clermont, Gilles, Hravnak, Marilyn, Pinsky, Michael R.
Publicado no AMIA Annu Symp Proc (2015)

Real Alerts and Artifact Classification in Archived Multi-signal Vital Sign Monitoring Data—Implications for Mining Big Data — Implications for Mining Big Data

Por Hravnak, Marilyn, Chen, Lujie, Dubrawski, Artur, Bose, Eliezer, Clermont, Gilles, Pinsky, Michael R.
Publicado no J Clin Monit Comput (2015)

Predicting neurological recovery with Canonical Autocorrelation Embeddings

Por De-Arteaga, Maria, Chen, Jieshi, Huggins, Peter, Elmer, Jonathan, Clermont, Gilles, Dubrawski, Artur
Publicado no PLoS One (2019)

Learning temporal rules to forecast instability in continuously monitored patients

Por Guillame-Bert, Mathieu, Dubrawski, Artur, Wang, Donghan, Hravnak, Marilyn, Clermont, Gilles, Pinsky, Michael R
Publicado no J Am Med Inform Assoc (2017)

Dynamic and Personalized Risk Forecast in Step-Down Units. Implications for Monitoring Paradigms

Por Chen, Lujie, Ogundele, Olufunmilayo, Clermont, Gilles, Hravnak, Marilyn, Pinsky, Michael R., Dubrawski, Artur W.
Publicado no Ann Am Thorac Soc (2017)

A Call to AlArms: Current State and Future Directions in the Battle Against Alarm Fatigue.

Por Hravnak, Marilyn, Pellathy, Tiffany, Chen, Lujie, Dubrawski, Artur, Wertz, Anthony, Clermont, Gilles, Pinsky, Michael R.
Publicado no J Electrocardiol (2018)

Predicting tachycardia as a surrogate for instability in the intensive care unit

Por Yoon, Joo Heung, Mu, Lidan, Chen, Lujie, Dubrawski, Artur, Hravnak, Marilyn, Pinsky, Michael R., Clermont, Gilles
Publicado no J Clin Monit Comput (2019)

Risk for Cardiorespiratory Instability Following Transfer to a Monitored Step-Down Unit

Por Bose, Eliezer, Chen, Lujie, Clermont, Gilles, Dubrawski, Artur, Pinsky, Michael R, Ren, Dianxu, Hoffman, Leslie A, Hravnak, Marilyn
Publicado no Respir Care (2017)

Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change

Por Bose, Eliezer L., Clermont, Gilles, Chen, Lujie, Dubrawski, Artur W., Ren, Dianxu, Hoffman, Leslie A., Pinsky, Michael R., Hravnak, Marilyn
Publicado no J Clin Monit Comput (2017)

Statistical outbreak detection by joining medical records and pathogen similarity

Por Miller, James K., Chen, Jieshi, Sundermann, Alexander, Marsh, Jane W., Saul, Melissa I., Shutt, Kathleen A., Pacey, Marissa, Mustapha, Mustapha M., Harrison, Lee H., Dubrawski, Artur
Publicado no J Biomed Inform (2019)

Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multi-signal Vital Sign Monitoring Data

Por Chen, Lujie, Dubrawski, Artur, Wang, Donghan, Fiterau, Madalina, Guillame-Bert, Mathieu, Bose, Eliezer, Kaynar, Ata M., Wallace, David J., Guttendorf, Jane, Clermont, Gilles, Pinsky, Michael R., Hravnak, Marilyn
Publicado no Crit Care Med (2016)