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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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Spring 2023
Five-year overall survival for gastric cancer in Canada is only 25%. Standard of care treatment using neoadjuvant chemotherapy and surgery achieves partial or complete treatment response in only 40% of patients. Additional strategies and methods to discover novel therapies and optimize existing...