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Sen Dong

Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy

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Detecting Common Mental Illnesses in the Global South Using Accessible and Interpretable Machine Learning: A Usecase Study in ELSA-Brasil Cohort

Number of pages: 34 Posted: 11 Jul 2022
Sen Dong, David Popovic, Peter Falkai, Kolja Schiltz, Isabela Bensenor, Paulo Lofuto, Frank Padberg, Stephan Goerigk, John Fanning, Nikolaos Koutsouleris and André Russowsky Brunoni
Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, University of São Paulo (USP) - Faculty of Medicine, University of São Paulo (USP) - Faculty of Medicine, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications and University of São Paulo (USP) - Department & Institute of Psychiatry
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common mental illness, common mental disorder, depression, generalised anxiety disorder, social determinants of health, machine learning, cohort study, individualised prediction, developing country, low-middle/income country