Artificial neural networks: Predicting head CT findings in elderly patients presenting with minor head injury after a fall.

Journal: The American journal of emergency medicine

Published Date: Feb 1, 2017

Abstract

OBJECTIVES: To construct an artificial neural network (ANN) model that can predict the presence of acute CT findings with both high sensitivity and high specificity when applied to the population of patients≥age 65years who have incurred minor head injury after a fall.

Authors

Michael W Dusenberry

Brody School of Medicine, East Carolina University, 600 Moye Blvd, Greenville, NC 27834, USA. Electronic address: dusenberrymw@gmail.com.
Charles K Brown

Department of Emergency Medicine, Brody School of Medicine, East Carolina University, 600 Moye Blvd, Greenville, NC 27834, USA. Electronic address: browncha@ecu.edu.
Kori L Brewer

Department of Emergency Medicine, Brody School of Medicine, East Carolina University, 600 Moye Blvd, Greenville, NC 27834, USA. Electronic address: brewerk@ecu.edu.

Keywords

Accidental Falls Aged Cost-Benefit Analysis Craniocerebral Trauma Decision Support Systems, Clinical Female Forecasting Humans Male Neural Networks, Computer Regression Analysis Retrospective Studies Tomography, X-Ray Computed Trauma Centers United States

External Resources

View on PubMed Access via DOI PubMed (27876174)

Artificial neural networks: Predicting head CT findings in elderly patients presenting with minor head injury after a fall.

Abstract

Authors

Keywords

External Resources

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