AIMC Topic: Trauma Centers

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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised ma...
Humans Machine Learning Electronic Health Records Female Adult Male Middle Aged Cohort Studies ROC Curve Natural Language Processing Alcoholism Wounds and Injuries Trauma Centers
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Artificial intelligence can predict daily trauma volume and average acuity.

The journal of trauma and acute care surgery Aug 1, 2018
BACKGROUND: The goal of this study was to integrate temporal and weather data in order to create an artificial neural network (ANN) to predict trauma volume, the number of emergent operative cases, and average daily acuity at a Level I trauma center.
Humans Neural Networks, Computer Databases, Factual Female Male Predictive Value of Tests Emergency Service, Hospital Injury Severity Score Wounds and Injuries Tennessee Trauma Centers
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