Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Average Acceleration01:30

Average Acceleration

14.4K
The importance of understanding acceleration spans our day-to-day experiences, as well as the vast reaches of outer space and the tiny world of subatomic physics. In everyday conversation, to accelerate means to speed up. For instance, we are familiar with the acceleration of our car; the harder we apply our foot to the gas pedal, the faster we accelerate. The greater the acceleration, the greater the change in velocity over a given time. Acceleration is widely seen in experimental physics. In...
14.4K
Average Velocity01:12

Average Velocity

24.2K
To calculate the other physical quantities in kinematics, we must introduce the time variable. The time variable allows us not only to state the position of the object during its motion, but also how fast it is moving. The speed at which an object is moving is given by the rate at which the position changes with time. For each position xi, we assign a particular time ti. If the details of the motion at each instant are not important, the rate is usually expressed as the average velocity. This...
24.2K
Average Value of a Function01:17

Average Value of a Function

69
The average value of a function over a closed interval can be interpreted geometrically as the height of a rectangle whose area equals the net area under the curve across that interval. This net area accounts for both positive and negative contributions of the function, providing a single representative value that reflects the function’s overall behaviorA practical illustration of this idea arises when monitoring the temperature inside a greenhouse over a twenty-four-hour period. Although...
69
Average Power01:13

Average Power

1.1K
In practical electrical applications, the concept of time-varying instantaneous power is not frequently utilized. Instead, focus shifts to the more practical quantity known as average power. Average power is determined by integrating the instantaneous power over a specified time period and subsequently dividing it by that duration.
1.1K
Intelligence01:27

Intelligence

8.7K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.7K
Classical Conditioning in Daily Life01:17

Classical Conditioning in Daily Life

2.3K
Classical conditioning, a fundamental principle of associative learning, explains various phenomena observed in daily life, such as fear development, the placebo effect, taste aversion, and drug habituation. These applications demonstrate the profound impact of associative learning on human behavior and physiological responses.
John B. Watson and Rosalie Rayner famously demonstrated the development of fear through classical conditioning in their experiment with Little Albert. They paired the...
2.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prehospital Resuscitation with Type O Whole Blood for Trauma and Hemorrhage.

The New England journal of medicine·2026
Same author

Etiology of Limb Loss after Successful Transmetatarsal Amputation.

Annals of vascular surgery·2026
Same author

Enteral Access for Nutritional Support.

The Surgical clinics of North America·2026
Same author

Surgeon perspective on the treatment of acute diverticulitis: A survey-based analysis.

Surgery·2026
Same author

Trends in the use of opioid and non-opioid analgesics after TBI with and without polytrauma.

Trauma surgery & acute care open·2025
Same author

Opioid Administration in a Surgical Intensive Care Unit: Association of Persistent Opioid Use.

The American surgeon·2025

Related Experiment Video

Updated: Feb 11, 2026

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K

Artificial intelligence can predict daily trauma volume and average acuity.

David P Stonko1, Bradley M Dennis, Richard D Betzold

  • 1From the Vanderbilt University School of Medicine (D.P.S.); Division of Trauma and Surgical Critical Care (B.M.D., R.D.B., A.B.P., O.L.G., O.D.G.), Vanderbilt University Hospital, Nashville, Tennessee.

The Journal of Trauma and Acute Care Surgery
|April 21, 2018
PubMed
Summary
This summary is machine-generated.

This study developed an artificial neural network (ANN) to predict trauma volume and patient acuity using weather and temporal data. The ANN accurately forecasts daily trauma activity, aiding resource allocation in trauma centers.

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.5K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.2K

Related Experiment Videos

Last Updated: Feb 11, 2026

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.5K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.2K

Area of Science:

  • Trauma care and public health
  • Data science and machine learning
  • Epidemiology

Background:

  • Trauma centers face challenges in predicting patient volume and acuity.
  • Accurate forecasting is crucial for effective resource allocation and patient management.

Purpose of the Study:

  • To develop an artificial neural network (ANN) model.
  • To integrate temporal and weather data for predicting trauma volume, emergent operative cases, and average daily acuity.
  • To enhance operational efficiency at a Level I trauma center.

Main Methods:

  • Collected trauma admission data (July 2013-June 2016) and weather data.
  • Constructed a two-layer feed-forward ANN using temporal and weather factors.
  • Employed Levenberg-Marquardt backpropagation and k-fold cross-validation for model training and assessment.

Main Results:

  • The ANN accurately predicted daily trauma numbers, penetrating trauma cases, operative cases, and average Injury Severity Score (ISS).
  • Achieved high correlation coefficients for training (r=0.9018), validation (r=0.8899), and testing (r=0.8940).
  • Demonstrated predictive accuracy with an example prediction for June 30, 2016.

Conclusions:

  • An ANN effectively predicts trauma volume and acuity by integrating weather and temporal data.
  • This predictive model can assist trauma centers in resource allocation and system-wide planning.
  • The findings support the use of data-driven approaches for optimizing trauma care operations.