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

Bernoulli's Equation: Problem Solving01:16

Bernoulli's Equation: Problem Solving

1.4K
A Venturi meter is essential for measuring fluid flow rates in pipelines. It utilizes the relationship between fluid velocity and pressure described by Bernoulli's equation. When installed in a sewage system, the Venturi meter accurately determines the wastewater flow rate by measuring pressure differences.
The first step is to compute the cross-sectional areas of the pipe and the Venturi throat to analyze the pressure difference indicated by the pressure gauge. Next, the continuity...
1.4K
Bernoulli's Principle: Applications01:17

Bernoulli's Principle: Applications

4.0K
There are many devices and situations in which fluid flows at a constant height and so can be analyzed using Bernoulli's principle. These devices include, but are not limited to, entrainment devices and fluid flow measuring devices.
Entrainment devices use a high fluid speed to create low pressures and, thus, entrain one fluid into another. Some examples of these devices are given below:
4.0K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

104
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
104
Bernoulli's Equation00:59

Bernoulli's Equation

10.6K
In the middle of the nineteenth century, it was observed that two trains passing each other at a high relative speed get pulled towards each other. The same occurs when two cars pass each other at a high relative speed. The reason is that the fluid pressure drops in the region where the fluid speeds up. As the air between the trains or the cars increases in speed, its pressure reduces. The pressure on the outer parts of the vehicles is still the atmospheric pressure, while the resultant...
10.6K
Probability Laws01:49

Probability Laws

41.1K
Overview
41.1K
Random Sampling Method01:09

Random Sampling Method

11.5K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.5K

You might also read

Related Articles

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

Sort by
Same author

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

JMIR medical informatics·2025
Same author

Non-invasive infrared thermography for screening, diagnosis and monitoring of skin cancer.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG·2024
Same author

Synbiotic <i>Bacillus megaterium</i> DSM 32963 and n-3 PUFA Salt Composition Elevates Pro-Resolving Lipid Mediator Levels in Healthy Subjects: A Randomized Controlled Study.

Nutrients·2024
Same author

Use of Infrared Thermography in Medical Diagnosis, Screening, and Disease Monitoring: A Scoping Review.

Medicina (Kaunas, Lithuania)·2023
Same author

FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital.

BMC medical informatics and decision making·2023
Same author

Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata.

Scientific data·2022

Related Experiment Video

Updated: Aug 7, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using

Christian Schmidt1, Dorothea Kesztyüs1, Martin Haag2

  • 1Medical Data Integration Center, Department of Medical Informatics, University Göttingen, Göttingen, Germany.

JMIR Medical Education
|March 9, 2023
PubMed
Summary
This summary is machine-generated.

This study demonstrates that medical literature contains quantifiable data on rare diseases. A new computerized method uses these probabilities to automatically generate virtual patient cases for medical training.

Keywords:
Bernoulliautomatedautomationcomputer basedcomputer programs and programmingdiagnosismedical educationmedical literatureprobabilityrare diseasessimulationvirtual patient

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.5K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.8K

Related Experiment Videos

Last Updated: Aug 7, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.5K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.8K

Area of Science:

  • Medical Education
  • Computational Medicine
  • Rare Disease Research

Background:

  • Medical education faces challenges due to limited rare disease case availability.
  • Clinical practice and research demands strain medical educators' time.
  • Automated virtual patient case generation offers a solution for enhanced training.

Purpose of the Study:

  • To assess the usability of quantifiable information on rare diseases in medical literature.
  • To develop a computational method for simulating patient cases using symptom probabilities.
  • To explore the feasibility of automated virtual patient creation for medical students.

Main Methods:

  • Systematic search of medical literature for rare diseases and symptom probabilities.
  • Development of a statistical script employing Bernoulli experiments for case generation.
  • Simulation of virtual patient cases based on literature-derived symptom probabilities.

Main Results:

  • Demonstrated successful generation of virtual patient cases using probabilities for 'brain abscess'.
  • Observed convergence of simulated symptom frequencies with reported literature probabilities.
  • Validated the method's accuracy through repeated simulations and statistical analysis.

Conclusions:

  • Medical literature contains valuable probabilistic data on rare diseases.
  • Automated virtual patient case generation is feasible using this data.
  • Further research can expand the generator with additional literature-based information.