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    Determining the probability of juvenile delinquency by using support vector machines and designing a clinical decision support system
    (Churchill Livingstone, 2020) Ucuz, Ilknur; Cicek, Ayla Uzun; Ari, Ali; Ozcan, Ozlem Ozel; Sari, Seda Aybuke
    It is a known fact that individuals who engaged in delinquent behavior in childhood are more probable to carry on similar behavior in adulthood. If the factors that lead children to involve in delinquency are defined, the risk of dragging children into crime can be detected before they are involved in crime and delinquency can be prevented with appropriate preventive rehabilitation programs, in the early period. However, given that delinquent behavior occurs under the influence of multiple conditions and factors rather than a single risk factor; the need for diagnostic tools to evaluate multiple factors together is obvious. Artificial intelligence-based clinical decision support systems have already been used in the field of psychiatry as well as many other fields of medicine. In this study, we assume that thanks to artificial intelligence-based clinical decision support systems, children and adolescents at risk can be detected before the criminal behavior occurs by addressing certain factors. In this way, we anticipate that it can provide psychiatrists and other experts in the field.
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    Emotional Dysregulation and Temperament-Character Traits in Adolescents With Functional Neurological Symptom Disorder (Conversion Disorder)
    (Lippincott Williams & Wilkins, 2024) Ucuz, Ilknur; Cicek, Ayla Uzun; Celik, Merve Komurcu; Akan, Mustafa; Kesriklioglu, Esma; Gungor, Serdal; Ozcan, Ozlem Ozel
    The purpose of this study was to evaluate emotion dysregulation and temperament-character traits in adolescents with functional neurological symptom disorder (FNSD). Forty adolescents with FNSD and 40 healthy adolescents were evaluated by a semiconstructed diagnosis interview, Temperament and Character Inventory (TCI), Difficulties in Emotion Regulation Scale (DERS), Regulation of Emotions Questionnaire (REQ), and Children's Somatization Inventory-24 (CSI-24). The external and internal dysfunctional emotion regulation scores of REQ, all subscales of DERS, except the awareness subscale, and CSI-24 scores were significantly higher in FNSD patients compared with healthy controls. There were significant differences between the groups in terms of harm avoidance and reward dependence subscale scores of TCI. Multiple logistic regression analysis showed that the external dysfunctional emotion regulation strategy, somatization, and reward dependence are significant predictors of FNSD. Our results provide evidence that adolescents with FNSD experience emotional dysregulation and that the differential value of some temperament-character traits in the diagnosis of FNSD.