On an Intuitionistic Fuzzy Approach for Decision Making in Medicine: Part 1

Abstract

Determining the readiness of the patient for weaning from long-term mechanical ventilation is one of the main tasks that need to be overcome by clinician in the intensive care units. In the present paper it is defined as a pattern recognition problem and four classification methods are applied in order to solve it: Stepwise discriminant analysis (SDA), stepwise logistic regression (SLR); intuitionistic fuzzy Voronoi diagrams and nonpulmonary weaning index (NPWI), applied to 17 features (variables). The result of each method is represented by relative recognition accuracy. As a final estimate of the classification a value which is received as an aggregated result from the four estimates received by each of the procedures.

Keywords

• Intuitionistic fuzzy sets
• Pattern recognition
• Mechanical ventilation
• Weaning
• Readiness to weaning