Jove
Visualize
Contact Us

Related Experiment Videos

Structure, use, and validation of the IEUBK model

M H Mickle1

  • 1Department of Electrical Engineering, University of Pittsburgh, PA 15261, USA. mickle@ee.pitt.edu

Environmental Health Perspectives
|December 23, 1998
PubMed
Summary

Predicting lead exposure effects in children is challenging. This study discusses validating dynamic mathematical models, like the Integrated Exposure Uptake Biokinetic (IEUBK) model, to better understand these complex biologic impacts.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor.

Computer methods and programs in biomedicine·2015
Same author

Learning control algorithms for tracking "slowly" varying trajectories.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·1997
Same author

The role of current modeling techniques in planning for future needs in allied health.

Journal of allied health·1976
See all related articles
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

Area of Science:

  • Environmental health
  • Biomathematics
  • Toxicology

Background:

  • Lead exposure in children poses significant health risks.
  • Predicting the biologic effects of lead exposure is complex.
  • Dynamic mathematical models offer a method for analyzing and predicting exposure impacts.

Purpose of the Study:

  • To explore general difficulties in validating dynamic mathematical models.
  • To present common pitfalls in model validation processes.
  • To discuss the application of these models in understanding lead exposure in children.

Main Methods:

  • Utilized the Integrated Exposure Uptake Biokinetic (IEUBK) model as a case study.
  • Presented general illustrations of validation challenges, independent of specific physiological effects.
  • Discussed mathematical concepts related to model calibration and validation.

Main Results:

  • Highlighted general challenges in validating dynamic mathematical models.
  • Illustrated potential difficulties in calibrating models using intuitive analyses.
  • Emphasized the importance of rigorous validation for predictive accuracy.

Conclusions:

  • Validating dynamic models, such as the IEUBK model, presents unique challenges.
  • Careful consideration of mathematical principles and historical data is crucial for reliable model validation.
  • Improved model validation is essential for accurately predicting the health impacts of environmental exposures like lead.

Related Experiment Videos