Neural Networks and their Possible Use in Computer-Assisted Diagnosis

Abstract

Hospital corpsmen stationed on submarines frequently must make medical decisions without consulting a physician. Since evacuation decisions are extremely crucial and may involve aborting a mission, Computer-Assisted Medical Diagnosis (CAMD) is provided to confirm the need for medical evacuation. The Abdominal and Chest Pain modules deployed use a Bayesian approach to estimate the probability of a medical diagnosis. A variety of other algorithms, including various statistical tools and expert systems have been used elsewhere for this purpose. Currently a new tool, the neural network model, is being considered for CAMD. The purpose of this paper is to describe the mathematics involved in simulating a simple neural network and to discuss its potential in connection with the Navy's CAMD program.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA223917

Entities

People

  • Antonio Gino
  • Jean Dunbar

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Bayesian Networks
  • Classification
  • Computer Programs
  • Computers
  • Expert Systems
  • Machine Learning
  • Mainframe Computers
  • Mathematics
  • Models
  • Neural Networks
  • Pain
  • Parallel Computing
  • Parallel Processing
  • Security

Fields of Study

  • Computer science
  • Medicine

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Trauma or Military Medicine

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks