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Browsing Fakülteler / Faculties by Author "Özkan, Özhan"

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A Study on the Effects of Sympathetic Skin Response Parameters in Diagnosis of Fibromyalgia Using Artificial Neural Networks

Özkan, Özhan; Suleyman Bilgin; Selami Akkus; Hasan R. Koyuncuoglu; Köklükaya, Etem (SPRINGER, 2016)

Fibromyalgia syndrome (FMS), usually observed commonly in females over age 30, is a rheumatic disease accompanied by extensive chronic pain. In the diagnosis of the disease non-objective psychological tests and physiological ...
Measuring the Sympathetic Skin Response on Body and Using as Diagnosis-Purposed for Lung Cancer Patients by Artificial Neural Networks

Köklükaya, Etem; Özkan, Özhan; Yıldız, Murat (SPRINGER, 2010)

In this study, the points of Sympathetic skin response that can be measured from different zones on body of healthy and patient subjects are determined. The Sympathetic skin responses on these points are obtained using a ...
Physiological parameters as a tool in the diagnosis of fibromyalgia syndrome in females: A preliminary study

Onur Elmas; Sedat Yildiz; Suleyman Bilgin; Seden Demirci; Selcuk Comlekci; Hasan Rifat Koyuncuoglu; Selami Akkus; Omer Halil Colak; Köklükaya, Etem; Arslan, Evren; Özkan, Özhan; Gurkan Bilgin (PERGAMON-ELSEVIER SCIENCE LTD, 2016)

Significance: Changes in hormonal factors, peripheral blood circulation, autonomous systemactivity disorders, inflammatory incidents, etc., may explain the increased TEMP in the FM patients. The high PLT level may signify ...
Prediction of compressibility parameters of the soils using artificial neural network

T. Fikret Kurnaz; Ugur Dagdeviren; Yıldız, Murat; Özkan, Özhan (SPRINGER INTERNATIONAL PUBLISHING AG, 2016)

The compression index and recompression index are one of the important compressibility parameters to determine the settlement calculation for fine-grained soil layers. These parameters can be determined by carrying out ...
Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron

Çarklı Yavuz, Burcu; Yurtay, Nilüfer; Özkan, Özhan (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)

The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure ...
Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron

Çarklı Yavuz, Burcu; Yurtay, Nilüfer; Özkan, Özhan (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)

The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure ...
Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron

Çarklı Yavuz, Burcu; Yurtay, Nilüfer; Özkan, Özhan (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)

The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure ...
The Correlation of Laboratory Tests and Sympathetic Skin Response Parameters by Using Artificial Neural Networks in Fibromyalgia Patients

Özkan, Özhan; Yıldız, Murat; Köklükaya, Etem (SPRINGER, 2012)

Fibromyalgia syndrome (FMS) is a chronic musculoskeletal disease which causes dysfunction of the autonomic nervous system. Sympathetic Skin Response (SSR) is a part of electrical impedance of body which is affected by the ...