Masters Degrees (Mechanical and Mechatronic Engineering)

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ADHD screening tool: investigating the effectiveness of a tablet-based game with machine learning
(Stellenbosch : Stellenbosch University, 2019-04) Swarts, Romano; Fourie, Pieter Rousseau; Van den Heever, David Jacobus; Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering (CRSES)
ENGLISH ABSTRACT: This study investigated the effectiveness of a tablet-based game that incorporated machine learning to screen participants between the ages of six and twelve years for ADHD inattentive subtype. Prior to the design and development of the ADHD screening tool, a thorough investigation of the literature was conducted. Additionally, existing ADHD screening tools and cognitive training tools were identified. This research project implemented lessons learned from the literature, as well as input from medical professionals and the DSM-V diagnostic criteria. The ADHD screening tool presents a patient-testing interface in the form of a tablet-based game with a cloud-based machine learning classifier. The cloud-based classifier is integrated with an algorithm, and together they can discriminate between ADHD and non-ADHD patients with a sensitivity of 100i% and specificity of 87.5i%. The device used for testing was a single, internet connected, commercially available tablet. No additional hardware is required.