These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Estimating ventilation/perfusion distributions from inert gas data: a Bayesian approach.
    Author: Ryan DM, Scott AJ.
    Journal: Biometrics; 1980 Mar; 36(1):105-15. PubMed ID: 7370369.
    Abstract:
    In recent years, experimental techniques using inert gas studies have been developed for determining essentially continuous distributions of the ventilation/perfusion ratio over a lung. Mathematically, the technique requires the recovery of 'smooth' solutions of grossly underdetermined systems of linear equations. This paper investigates the use of Bayesian smoothing techniques and shows that, provided the true underlying distribution of ventilation/perfusion ratios is relatively smooth and well-behaved, it is possible to recover reliable estimates of such distributions.
    [Abstract] [Full Text] [Related] [New Search]