Use of the Maximum Likelihood Method in the Analysis of Chamber Air Dives

Abstract

The method of maximum likelihood was used to evaluate the risk of decompression sickness (DCS) for selected chamber air dives. The parameters of two mathematical models for predicting DCS were optimized until the best agreement (as measured by maximum likelihood) corresponding to the observed DCS incidents from a series of dives was attained. The decompression data used consisted of 800 man-dives with 21 incidents of DCS and 6 occurrences of marginal symptoms. The first model investigated was based on a nonlinear gas exchange in a series arrangement of four compartments. The second model was based on a mono-exponential gas exchange in a parallel arrangement of two compartments. The second model was based on a mono-exponential gas exchange in a parallel arrangement of two compartments. The overall statistical success in describing the 800 man-dives was quite similar for the two models. Predictions of safety for dives not part of the original data differed for the models due to differences in gas kinetics. For short, no-decompression dives, the series arrangement of compartments predicted a lower incidence of DCS. These predictions were more consistent with the outcome of subsequent testing than were predictions of the parallel compartment model. Predictions of the series arrangement model were also similar to those of a single-compartment, two- exponential model that was evaluated with over 1700 man-dives by the U.S. Navy. Keywords: Tables data, Probability, Graphs, Reprints.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA205245

Entities

People

  • P. K. Weathersby
  • P. Tikuisis
  • R. Y. Nishi

Organizations

  • Naval Medical Research Center

Tags

DTIC Thesaurus Topics

  • Agreements
  • Biomedical Research
  • Chambers
  • Coefficients
  • Confidence Limits
  • Data Science
  • Data Sets
  • Decompression Sickness
  • Differential Equations
  • Information Science
  • Kinetics
  • Mathematical Models
  • Navy
  • Predictive Modeling
  • Probability
  • Statistical Analysis
  • Statistical Tests

Readers

  • Computational Modeling and Simulation
  • Statistical inference.
  • Underwater engineering and Marine Technology.