A FUZZY LOGIC MODEL FOR THE DIAGNOSIS OF SILICOSIS

Deniz BOZ ERAVCI; Serdal Kenan KÖSE

Article Details

A FUZZY LOGIC MODEL FOR THE DIAGNOSIS OF SILICOSIS

Authors:

Deniz BOZ ERAVCI | Serdal Kenan KÖSE

Publisher:

Engin TUTKUN

Journal:

The Turkish Journal Of Occupational / Environmental Medicine and Safety 2017 Vol.Volume 2 Issue İssue 1 (1), pp.1-58

Document Type:

Article

Publication Date:

2/2017

Document Language:

Turkish

Document ID (Org No.):

2000835245

Frequency:

Quarterly

eISSN:

2149-4711

pISSN:

2149-4711

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.

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Article Details

A FUZZY LOGIC MODEL FOR THE DIAGNOSIS OF SILICOSIS

Authors: Deniz BOZ ERAVCI | Serdal Kenan KÖSE

Publisher: Engin TUTKUN

Journal: The Turkish Journal Of Occupational / Environmental Medicine and Safety 2017 Vol.Volume 2 Issue İssue 1 (1), pp.1-58

Document Type: Article

Publication Date: 2/2017

Document Language: Turkish

Document ID (Org No.): 2000835245

Frequency: Quarterly

eISSN: 2149-4711

pISSN: 2149-4711

Issues

Authors:

Deniz BOZ ERAVCI | Serdal Kenan KÖSE

Publisher:

Engin TUTKUN

Journal:

The Turkish Journal Of Occupational / Environmental Medicine and Safety 2017 Vol.Volume 2 Issue İssue 1 (1), pp.1-58

Document Type:

Article

Publication Date:

2/2017

Document Language:

Turkish

Document ID (Org No.):

2000835245

Frequency:

Quarterly

eISSN:

2149-4711

pISSN:

2149-4711