COMPARISON OF THE CLASSIFICATION PERFORMANCES OF CRIMINAL TENDENCIES OF SCHIZOPHRENIC PATIENTS BY ARTIFICIAL NEURAL NETWORKS AND SUPPORT VECTOR MACHINE

Yıl 2017, Cilt: 7 Sayı: 2, 177 - 185, 30.12.2017

Ömer Osman Dursun Suat Toraman Abdurrahim Türkoğlu

Öz

 In this study, a new approach
based on Artificial Neural Networks (ANN) and Support Vector Machine (SVM)
classifiers has been proposed in the determination of criminal tendency with
biochemical data of schizophrenia patients. Classification was performed using
the biochemical data of the offender and control group schizophrenic patients.
The data were obtained from 100 schizophrenic inpatients in Elazığ mental and
Neurological Disorders Hospital. The biochemical data used for the examination
and classification of the criminal tendencies of schizophrenic patients were
Triglycerides, Total Cholesterol, High Density Lipoproteins (HDL), Low Density
Lipoproteins (LDL), Very Low Density Lipoproteins (VLDL), Sex Hormone Binding
Globulin (SHBG), Oestradiol, Free Testosterone, Total Testosterone, Ghrelin,
Copper (Cu) and Zinc (Zn). Biochemical data were classified using ANN and
SVM.  All data were normalized to before
classification. In addition, classifier results were evaluated using cross-validation
method. As a result of the classification performed, 87% accuracy and 89%
accuracy were achieved by ANN and SVM, respectively. In the determination of
the criminal tendencies of schizophrenic patients using their biochemical data,
SVM classifier performed a more effective classification compared to ANN
classifier. According to classification results, it was seen that the
biochemical data used could be useful features in the determination of the
criminal tendencies of schizophrenic patients.

Anahtar Kelimeler

Schizophrenia, Artificial neural network, Support vector machine, Classification, Criminal tendency

Kaynakça

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