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Critical Care Outcomes

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Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

JAMA network open 30646310
IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, usin...
Adult Aged Aged, 80 and over Critical Care Outcomes Critical Illness Electronic Health Records Female Humans Intensive Care Units Male Middle Aged Models, Statistical Natural Language Processing Reproducibility of Results Retrospective Studies Severity of Illness Index
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Can Big Data Deliver on Its Promises?-Leaps but Not Bounds.

JAMA network open 30646305
Big Data Critical Care Outcomes Electronic Health Records Natural Language Processing
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Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

JAMA network open 30646206
IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about their utility in emergency department (ED) triage.
Adolescent Child Child, Hospitalized Child, Preschool Critical Care Critical Care Outcomes Emergency Service, Hospital Female Hospitalization Humans Machine Learning Male Models, Educational Predictive Value of Tests Prognosis Quality Improvement Triage United States
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A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

BMC emergency medicine 34620086
BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challenge. We aimed to use machine learning approach to predict the critical care outcomes in patients with chest pain, and simultaneously compare its perfo...
Aged Case-Control Studies Chest Pain Critical Care Outcomes Emergency Service, Hospital Female Humans Machine Learning Male Middle Aged Percutaneous Coronary Intervention Retrospective Studies Triage
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