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The relationship between machine learning and healthcare—while still emerging—has the potential of reducing institutional barriers even as it magnifies the reach of medical interventions. This thesis seeks to examine the use and integration of machine learning tools in health through the context of ADHD diagnosis, particularly examining the ways in which notions of bias and fairness may impact the ... read moremodel development process. This paper synthesizes existing literature on ADHD with literature outlining understandings of bias in machine learning before conducting a case analysis of machine learning tools designed to assist with diagnosis. Advisor: Dr. Fernando Ona.read less
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