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- W2486795512 abstract "This chapter addresses the critical issue of exploration and integration of environmental factors as well as the effect of activities of daily living with medical and biological factors in order to monitor and predict AD/MCI disease progression and evolution. Thus, traditional approaches to clinical research and practice requires population statistics and therefore takes into account only the average biological behaviour of the disease, independently of the person specific clinical history, environmental factors, as well as the daily activity interactions in relation to historical data. The proposed system will use IT-based tools (including also 3D gaming environments) in order to address specific cognitive and physical/motor parameters and ADLs (activities of daily living) factors within AD, and MCI domain and aim at improving their diagnosis, evaluating their variations along the progress of an Alzheimer disease and its different steps, and supporting the stimulation/training of the patient affected by the disease." @default.
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- W2486795512 date "2015-01-01" @default.
- W2486795512 modified "2023-09-28" @default.
- W2486795512 title "An Ambient Intelligence System for the Monitoring, Empowerment, and Disease Evolution Prediction for Patients with Mild Cognitive Impairment" @default.
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- W2486795512 doi "https://doi.org/10.4018/978-1-4666-8234-4.ch012" @default.
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