Functional Aging in Pilots: An Examination of a Mathematical Model Based on Medical Data on General Aviation Pilots

Abstract

The purpose of this study was to apply mathematical procedures to the Federal Aviation Administration (FAA) pilot medical data to examine the feasibility of devising a linear numbering system such that (1) the cumulative probability distribution functions (CPDF) for persons who are not diagnosed as having an acute pathology are lower on the scale than those diagnosed as having an acute pathology, and (2) the CPDF's for both groups overlap minimally. The analyses presented some pertinent results. (1) age is not as accurate in discriminating between the sudden incapacitating pathology and nonpathology groups as the linear discriminant composite. (2) As age increases from post-50, to post-55, to post-60, classification using the discriminant index increases monotonically. (3) Better measures that predict these pathologies with more accuracy would further separate the CPDF's of the pathology and nonpathology groups. Based of these results a possible strategy for future study on pilot certification is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA123756

Entities

People

  • James O. Boone

Organizations

  • Federal Aviation Administration

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Age Groups
  • Aviation Medicine
  • Cardiovascular Physiological Phenomena
  • Classification
  • Databases
  • Distribution Functions
  • Factor Analysis
  • Magnetic Tape
  • Mathematical Models
  • Measurement
  • Models
  • Oklahoma
  • Performance Tests
  • Probability
  • Probability Distribution Functions
  • Probability Distributions

Readers

  • Linear Algebra
  • Neurotrauma and Rehabilitation Medicine.
  • Regression Analysis.