Survival Models for Predicting Altitude Decompression Sickness.

Abstract

Survival Analysis methods have been used to model the onset of Decompression Sickness (DCS) which occurs routinely as a result of high altitude exposure. Both parametric and nonparametric models were developed. These models were used to predict the risk of DCS for different flight profiles. The risk factors that have a significant effect on the risk of DCS were also identified. Cross validation techniques are provided to examine the goodness of fit of the model. The loglogistic model was modified to incorporate data on bubble grades and times.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA338089

Entities

People

  • Apaarna Raychaudhuri
  • Nandini Kannan

Organizations

  • University of Texas at San Antonio

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Altitude
  • Data Sets
  • Databases
  • Decompression Sickness
  • High Altitude
  • Information Science
  • Military Personnel
  • Probabilistic Models
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Risk Factors
  • Standards
  • Statistical Analysis
  • Survival

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Underwater engineering and Marine Technology.