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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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Self-Report Measures and Mobile Applications for Mental Health – Focusing on Suicidality and Bipolar Disorder – Including App Development and Measure Validation
DownloadFall 2020
This thesis describes studies evaluating the predictive validity of suicide risk assessments, assessment and monitoring of bipolar disorder using mobile app-based self-report questionnaires, the feasibility and criterion validity of novel tools for the evaluation of suicidal ideation and...