The Challenge of Using Soft Computing for Decision Support During Labour

Abstract

This paper presents the development of a Decision Support System for managing the labor based on the Soft Computing technique of Fuzzy Cognitive Maps. During labor, obstetricians manage and take decisions on the fetus delivery, and the procedure of the labor, monitoring continuously a visual recording of the fetus heart signal and entering contractions and they also take under consideration other physiological medical measurements and factors. Obstetricians utilize their experience and they decide either to proceed to a natural labor or to a Caesarean section. The developing system for managing labor delivery, will combine evaluation of cardiotocographic signal with other physiological data in order to create an advanced Decision Support System.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412439

Entities

People

  • C. D. Stylios
  • G. Georgoulas
  • P. P. Groumpos

Organizations

  • University of Ioannina

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Science
  • Computers
  • Deceleration
  • Decision Support Systems
  • Engineering
  • Expert Systems
  • Filters
  • Frequency
  • Heart Rate
  • Intelligent Systems
  • Machine Learning
  • Monitoring
  • Neural Networks
  • Stress (Physiology)
  • Supervised Machine Learning

Readers

  • Economics
  • Medical or Health Care Field.
  • Neural Network Machine Learning.