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Computational psychiatry: machine learning for clinical decision support in the treatment of major depression
DownloadFall 2019
The goal of this thesis is to contribute to the fields of data-driven medicine and computational psychiatry by attempting to demonstrate the viability of machine learning for use in psychiatry, specifically in predicting treatment outcomes for major depression. This is attempted in four ways: ...
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Fall 2020
In the perimenopausal period, an event marked by end of menstrual cycle regularity, women are at a greater risk of either experiencing a reoccurrence of a major depressive episode (MDE), or presenting with their first MDE. This risk is greater in women with a history of mood vulnerability related...