AIRO Young Opportunity

20 Aug 2019
University of Milano Bicocca
Behavioural change is an important factor in the maintenance of health and well-being in a number of conditions; a change in a person's behaviour can often be an indication of a change in their health state. Monitoring behaviour and detecting change as part of self-management can therefore be an effective tool for the maintenance of stable health in chronic diseases.
By monitoring behaviour, changes that correlate to prodromes or early warning signs can be identified and corrective or preventative action taken early. The activity will be devoted to the characterization of common patterns and in the identification of pattern change in time series of behavioral data. In particular, the development of data visualization techniques, clusting models and anomaly detection in behavioral data will be required.

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