Computer Assisted Oswestry Disability Questionnaire Evaluation Using Fuzzy Inference Systems.

Norbert Gal-Nadasan, Mihalea Crisan-Vida, Vasile Stoicu-Tivadar, Alexandra Gradea, Emanuela Gal-Nadasan
Author Information
  1. Norbert Gal-Nadasan: Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers.
  2. Mihalea Crisan-Vida: Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers.
  3. Vasile Stoicu-Tivadar: Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers.
  4. Alexandra Gradea: Politehnica University of Timisoara, Romania, Department of Mechanics and Strength of Materials.
  5. Emanuela Gal-Nadasan: Department of Medical Rehabilitation, University of Medicine and Pharmacy "Victor Babes".

Abstract

This paper proposes the evaluation of the Oswestry Disability Index (ODI) using a fuzzy inference system. The ODI is used to evaluate the impact of the low back pain on the patient's quality of life. The patient grades from 0 to 5 a number of 10 questions regarding usual daily activities. At the end a mathematical formula is used to calculate the degree of the impact/disability. It has been observed that this method easily can generate false positive results due to the fact that patients purposely try to score a higher degree so that they can benefit from advantages offered by the medical system. To eliminate the false positive results a fuzzy inference system was developed which can identify the contradictory input data and warn the medical staff about a possible erroneous result.

Keywords

MeSH Term

Disability Evaluation
Disabled Persons
Humans
Low Back Pain
Quality of Life
Surveys and Questionnaires

Word Cloud

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