Muge Capan

Orcid: 0000-0003-3194-6117

According to our database1, Muge Capan authored at least 16 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis.
Artif. Intell. Medicine, September, 2023

2022
Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model.
Decis. Anal., December, 2022

Display and perception of risk: Analysis of decision support system display and its impact on perceived clinical risk of sepsis-induced health deterioration.
Health Informatics J., 2022

2021
Proximity of Cellular and Physiological Response Failures in Sepsis.
IEEE J. Biomed. Health Informatics, 2021

2020
Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis.
Health Informatics J., 2020

2019
Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration.
IEEE J. Biomed. Health Informatics, 2019

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

Simulating Uncertainty of Early Warning Scores in Sepsis Detection.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.
J. Am. Medical Informatics Assoc., 2018

The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.
Int. J. Medical Informatics, 2018

What's in a Definition? A simulation Framework for Modeling sepsis Interventions using Electronic Health Records.
Proceedings of the 2018 Winter Simulation Conference, 2018

Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Recent Temporal Pattern Mining for Septic Shock Early Prediction.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
LSTM for septic shock: Adding unreliable labels to reliable predictions.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Time Series Analysis for Forecasting Hospital Census: Application to the Neonatal Intensive Care Unit.
Appl. Clin. Inform., 2016


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