A FUZZY LOGIC MODEL FOR THE DIAGNOSIS OF SILICOSIS

Year 2017, Volume: Volume 2 Issue: İssue 1 (1) - 2.İnternational Congress Of Forensic Toxicology, 58 - 58, 16.02.2017

Deniz Boz Eravcı , Serdal Kenan Köse

Abstract

Nowadays the use of computer technology in the fields
of medical diagnosis, treatment of illnesses has highly increased. The
objective of this study is to detect the silicosis in the workers by using
Fuzzy Logic Model. The designed system based on a public hospital database in
Ankara. A total of 560 patients’ dataused in this study. The system consists of
five (5) input fields, 243 rules an done output field. Input fields are the
amount of smoking, radio graphic profusions core, erythrocyte sedimentation
rate, general symptoms and working times.Silicosis risk is determined by the
way of fuzzy modelling of input parameters. In this study it has been
determined a majority of patients (%81,1) have moderate silicosis risk while
%13,8 of patients have a high silicosis risk.

Keywords

A FUZZY LOGIC MODEL FOR THE DIAGNOSIS OF SILICOSIS

References

• Labour and Social Security Training Expert,Centre for Labour and Social Security Training and Research
• Department of Biostatistics, Ankara University School of Medicine