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  •   e-Arsiv@Uskudar : Digital Archive System
  • Psikoloji Bölümü
  • The Journal of Neurobehavioral Sciences
  • 2014
  • View Item
  •   e-Arsiv@Uskudar : Digital Archive System
  • Psikoloji Bölümü
  • The Journal of Neurobehavioral Sciences
  • 2014
  • View Item
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Artificial intelligence approaches in psychiatric disorders

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Artificial intelligence approaches in psychiatric disorders.pdf (241.2Kb)
Date
2014
Author
Özekes, Serhat
Erguzel, Turker Tekin
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Abstract
Potential utility of machine learning (ML) methods can be used as a clinical tool in administering diagnosis and therapy to a targeted group of subjects suffering from psychiatric diseae. The use of ML methodology is more potentially useful to the clinician as a classification or treatment response prediction tool . It is worth using feature selection algorithms to raise the sensitivity and accuracy of the models to contribute to the hybrid approach of artificial intelligence methodologies.
URI
http://earsiv.uskudar.edu.tr/xmlui/handle/123456789/542
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