Predicting anxiety disorders and suicide tendency using machine learning: a review
by Theodore Kotsilieris; Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis Pintelas
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 12, No. 6, 2020

Abstract: Anxiety disorders constitute the largest group and the most common type of mental disorders. At the same time, machine learning techniques can be used for analysing a patient's history and diagnose problems imitating the human reasoning or in making logical decisions. This work reviews the main concepts and applications of machine learning techniques in predicting anxiety disorder types. Seventeen (17) studies were considered, that applied machine learning techniques for predicting anxiety disorders and five (5) additional studies were examined for predicting suicide tendencies. The accuracy of the results varies according to the type of anxiety disorder and the type of methods utilised for predicting the disorder.

Online publication date: Fri, 06-Nov-2020

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