Using an artificial neural network to predict traumatic brain injury

Related Experiment Video

Updated: Feb 2, 2026

Controlled Cortical Impact Model for Traumatic Brain Injury
05:30

Controlled Cortical Impact Model for Traumatic Brain Injury

Published on: August 5, 2014

29.7K

Andrew T Hale1,2, David P Stonko2,3, Jaims Lim2

  • 11Vanderbilt University School of Medicine, Medical Scientist Training Program.

Journal of Neurosurgery. Pediatrics
|November 29, 2018
PubMed

Keywords:
ANN = artificial neural networkAUC = area under the curveCRTBI = clinically relevant TBIEMR = electronic medical recordNPV = negative predictive valuePECARN = Pediatric Emergency Care Applied Research NetworkROC = receiver operator characteristicTBITBI = traumatic brain injuryartificial intelligencemachine learningpediatricstrauma

More Related Videos

Lateral Fluid Percussion: Model of Traumatic Brain Injury in Mice11:04

Lateral Fluid Percussion: Model of Traumatic Brain Injury in Mice

Published on: August 22, 2011

41.4K
A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury04:19

A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury

Published on: June 20, 2017

11.7K

Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.4K
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Traumatic Memory01:20

Traumatic Memory

Emotionally traumatic events often lead to memories that are exceptionally vivid and enduring, sometimes persisting with remarkable clarity throughout an individual's life. A classic example of this phenomenon is a person who survives a car accident. Even years later, they may recall every detail of the event with startling accuracy — the screeching of the tires, the jarring impact, and the acrid smell of burning rubber. Such vividness contrasts sharply with how an individual...
582