Gabriel J. Escobar

Orcid: 0000-0003-2540-3327

According to our database1, Gabriel J. Escobar authored at least 17 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR.
npj Digit. Medicine, 2022

Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge.
J. Am. Medical Informatics Assoc., 2022

2021
Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Robust Policies For Proactive ICU Transfers.
CoRR, 2020

Operationally-Informed Hospital-Wide Discharge Prediction Using Machine Learning.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

2019
Ralph Gomory Best Industry Studies Paper Award (2018).
Manuf. Serv. Oper. Manag., 2019

Assessing the Impact of Service Level When Customer Needs Are Uncertain: An Empirical Investigation of Hospital Step-Down Units.
Manag. Sci., 2019

Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.
J. Am. Medical Informatics Assoc., 2019

2018
An Examination of Early Transfers to the ICU Based on a Physiologic Risk Score.
Manuf. Serv. Oper. Manag., 2018

2017
The Impact of Delays on Service Times in the Intensive Care Unit.
Manag. Sci., 2017

A novel propensity modeling approach to estimate the causal impact of acute organ dysfunction on long-term survival in sepsis.
Proceedings of the Summit on Clinical Research Informatics, 2017

2016
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU.
J. Biomed. Informatics, 2016

2015
ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes.
Manag. Sci., 2015

2014
When to Use Speedup: An Examination of Service Systems with Returns.
Oper. Res., 2014

Predictive Analytics in Healthcare (HPA): Considerations and Challenges.
Proceedings of the AMIA 2014, 2014

2013
Automated identification of pneumonia in chest radiograph reports in critically ill patients.
BMC Medical Informatics Decis. Mak., 2013

2012
Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions.
Oper. Res., 2012


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