Prediction of general anxiety disorder using machine learning techniques

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dc.authorid0000-0002-8076-3678
dc.contributor.authorŞahinbaş, Kevser
dc.date.accessioned2022-11-28T10:24:11Z
dc.date.available2022-11-28T10:24:11Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümü
dc.description.abstractToday, the increase in mental health problems, the variable nature of mental health and the lack of sufficient number of mental health professionals have led to the search for machine learning that applied to mental health problems extensively, and its use in the field of health is considered as a new hope. Mental disorders are a health illness that affects a person's emotions, reasoning, and social interaction. Early diagnosis and the application of the right treatment after the correct diagnosis have always been the expectation of all humanity. As technologies develop, machine learning has started to attract attention in the field of medicine with the development of diagnostic methods. The aim of this study is to conduct classification studies by using machine learning methods in the diagnosis process of anxiety disorder diseases. A publicly available dataset of 672 people's Generalized Anxiety Disorder 7-item (GAD-7) responses during the COVID-19 period is used. This study demonstrates that it is possible to classify mental health status with 0.97 accuracy rates with the Support Vector Machine algorithm, which has a higher performance than other algorithms.
dc.identifier.citationŞahinbaş, K. (2022). Prediction of general anxiety disorder using machine learning techniques. The Future of Data Mining içinde (119-138. ss.). Nova Science Publishers, Inc.
dc.identifier.endpage138
dc.identifier.isbn9798886973150
dc.identifier.isbn9798886972504
dc.identifier.scopus2-s2.0-85141334691
dc.identifier.scopusqualityN/A
dc.identifier.startpage119
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10035
dc.indekslendigikaynakScopus
dc.institutionauthorŞahinbaş, Kevser
dc.language.isoen
dc.publisherNova Science Publishers, Inc.
dc.relation.ispartofThe Future of Data Miningen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectClassification
dc.subjectData Management
dc.subjectGeneral Anxiety Disorder
dc.subjectMachine Learning
dc.titlePrediction of general anxiety disorder using machine learning techniques
dc.typeBook Chapter

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