Santiago Romero-Brufau

According to our database1, Santiago Romero-Brufau authored at least 12 papers between 2014 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Practical development and operationalization of a 12-hour hospital census prediction algorithm.
J. Am. Medical Informatics Assoc., 2021

Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).
J. Am. Medical Informatics Assoc., 2021

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study.
J. Am. Medical Informatics Assoc., 2021

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks.
CoRR, 2021

2020
A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support.
Int. J. Medical Informatics, 2020

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.
Appl. Clin. Inform., 2020

2019
The value of missing information in severity of illness score development.
J. Biomed. Informatics, 2019

2018
Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics.
Proceedings of the AMIA 2018, 2018

Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration.
Proceedings of the AMIA 2018, 2018

The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further.
Proceedings of the AMIA 2018, 2018

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

2014
Clinical Decision Making: A Framework for Predicting Rx Response.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014


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