Browsing Det samfunnsvitenskapelige fakultet by Author "Ebad Fardzadeh, Haghish"
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Adolescents’ psychosocial well-being one year after the outbreak of the COVID-19 pandemic in Norway von Soest, Tilmann; Kozák, Michal; Rodriguez Cano, Ruben; Fluit, Anne-Marie; Cortes Garcia, Laura; Ulset, Vidar Sandsaunet; Ebad Fardzadeh, Haghish; Bakken, Anders (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)The COVID-19 pandemic has dramatically restricted adolescents’ lives. We used nationwide Norwegian survey data from 2014–2021 (N = 227,258; ages 13–18) to examine psychosocial outcomes in adolescents before and during the ...
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Ebad Fardzadeh, Haghish; Laeng, Bruno; Czajkowski, Nikolai Olavi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)Introduction False positives in retrospective binary suicide attempt classification models are commonly attributed to sheer classification error. However, when machine learning suicide attempt classification models are ...
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Ebad Fardzadeh, Haghish; Obaidi, Milan; Strømme, Thea Bertnes; Bjørgo, Tore; Grønnerød, Cato (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)Abstract We examined the relationship between adolescents’ extremist attitudes with a multitude of mental health, well-being, psycho-social, environmental, and lifestyle variables, using state-of-the-art machine learning ...
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Ebad Fardzadeh, Haghish; Czajkowski, Nikolai Olavi; von Soest, Tilmann Martin (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)Introduction Research on the classification models of suicide attempts has predominantly depended on the collection of sensitive data related to suicide. Gathering this type of information at the population level can be ...
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Reconsidering False Positives in Machine Learning Binary Classification Models of Suicidal Behavior Ebad Fardzadeh, Haghish; Czajkowski, Nikolai Olavi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)Abstract We posit the hypothesis that False Positive cases (FP) in machine learning classification models of suicidal behavior are at risk of suicidal behavior and should not be seen as sheer classification error. We trained ...
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Ebad Fardzadeh, Haghish; Nes, Ragnhild Bang; Obaidi, Milan; Qin, Ping; Stänicke, Line Indrevoll; Bekkhus, Mona; Laeng, Bruno; Czajkowski, Nikolai Olavi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)Abstract Adolescent suicide attempts are on the rise, presenting a significant public health concern. Recent research aimed at improving risk assessment for adolescent suicide attempts has turned to machine learning. But ...