The presented results showcase the potential social benefits of artificial intelligence application for elderly and establish a step forward to develop ML approaches, for the subsequent application of simple behavioral objective testing for dementia onset diagnostics replacing subjective MoCA. The regressor input variables include experimental subject's emotional valence and arousal recognition responses, as well as reaction times, together with self-reported education levels and ages, obtained from a group of twenty older adults taking part in the reported data collection project. The ElectroConvulsive therapy Cognitive Assessment (ECCA) and the Montreal Cognitive Assessment (MoCA) were administered prospectively to 55 participants with major depressive disorder (MDD) undergoing ECT at three time points: pre-treatment, before the sixth treatment and one-week post-treatment. We present a behavioral data collection concept for a subsequent AI-based application together with a range of regression encouraging results of Montreal Cognitive Assessment (MoCA) scores in the leave-one-subject-out cross-validation setup. We focus on the development of digital biomarkers for dementia progress detection and monitoring. The paper discusses our attempt and encouraging preliminary study results of behavioral responses analysis in a working memory-based emotional evaluation experiment. In particular, the solution is concerning the problem of a potential elderly adult dementia onset prediction in aging societies. Rutkowski and 3 other authors Download PDF Abstract:We present a practical health-theme machine learning (ML) application concerning `AI for social good' domain for `Producing Good Outcomes' track. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment J Am Geriatr Soc. Download a PDF of the paper titled Cognitive Assessment Estimation from Behavioral Responses in Emotional Faces Evaluation Task - AI Regression Approach for Dementia Onset Prediction in Aging Societies, by Tomasz M. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.
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