KI@Home - Prediction of 'adverse events' using artificial intelligence and Ambient Assisted Living systems in the home of people in need of care
The main objective of the project is the development of a self-learning system for the field of age appropriate living that can predict the individual probability of occurrence of events - especially dangerous situations - by means of AI algorithms.
These events include dementia or depression, increased risk of falling and acute complaints. For this purpose, predictors are to be identified with the means of data mining, individual probabilities of occurrence of events are to be predicted with adaptive models and thus the residents or persons in need of care and their relatives are to be warned at an early stage.
The system is to be trained with the help of 75-100 participants, preferably recruited from the catchment area of the project partners Pflegewerk and AOK. Through the project, the project partners hope to achieve potential savings from the avoidance of emergency interventions and inpatient treatment. Furthermore, the quality of life of the participants and their relatives is to be increased and positive effects on the service system as well as on the work of the providers are to be achieved.
- Better@Home Service GmbH (Consortium leadership)
- Institut für Sozialforschung und Sozialwirtschaft e.V.
- Pflegewerk Berlin GmbH
- AOK Nordost – Die Gesundheitskasse
- Die Netz-Werker, Systemmanagement und Datennetze AG
- Charité - Universitätsmedizin Berlin
- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Project duration: December 2020 - November 2022