AIMC Topic: Trauma Centers

Clear Filters Showing 21 to 23 of 23 articles

Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

The journal of trauma and acute care surgery Jul 1, 2019
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have recently shown the ability to predict admission volume, acuity, and operative needs at a single trauma center with very high reliability. This model has ...
Humans Neural Networks, Computer United States Bayes Theorem Injury Severity Score Wounds and Injuries Trauma Centers Geography, Medical
View on PubMed DOI

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
View on PubMed DOI

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
View on PubMed DOI
Popular Topics
Recent Journals