Pattern Recognition Analysis of Shock Trauma Data and Its Application to Army Problems,

Abstract

Physiological and biochemical measurements taken from severely injured patients have been analyzed by mathematicians, with medical expertise provided by physicians. The initial objectives of the study were: to refine a set of physiological and biochemical parameters (profile) which would characterize the state of severely injured patients; to delineate good and poor prognosis regions in the state space; and to evaluate the change in patient state over time (trajectory). This paper describes a measure of 'patient distance' from normality or homeostasis. This measure can be used for prognosis purposes, for evaluating the effect of therapies and for estimating the level of care provided by various institutions. Application of these analyses to Army problems are also discussed. (Modified author abstract)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1972
Accession Number
AD0784129

Entities

People

  • M. A. Golfarb
  • R. A. Cowley
  • W. J. Sacco
  • W. S. Copes

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Data Science
  • Homeostasis
  • Identification
  • Information Science
  • Measurement
  • Normality
  • Pattern Recognition
  • Physicians
  • Recognition
  • Trajectories

Fields of Study

  • Medicine

Readers

  • Oncology
  • Systems Analysis and Design
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space