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KARE: a hybrid reasoning approach for promoting active lifestyle
conference contribution
posted on 2023-05-23, 11:02 authored by Ali, R, Siddiqi, MH, Lee, S, Byeong KangByeong KangHealthcare systems provide suitable services in different domains to help people in fitting themselves into their best pattern of life. This study is focused on the development of a hybrid reasoning engine called KARE (knowledge acquisition and reasoning engine) which is the core reasoning module of ATHENA (activity-awareness for human-engaged wellness applications) platform, carried out at UCLab as a project for promoting active lifestyle. This engine recommends food, mental and physical therapy to the ATHENA users that are based on their personal preferences, historical physical, mental and social health information. In KARE, a hybrid approach is used for reasoning which internally combines the predictions of multiple parallel reasoners into a collective decision. Random Forest, Naïve Bayes and IB1 algorithms are used in parallel in each of the reasoner to generate personalized recommendations for the specified service. The predictions of all the individual reasoners are combined using majority voting scheme to enhance the predictive accuracy of the individual reasoner. The proposed hybrid reasoning approach is tested on real world dataset of weight management, collected under the ATHENA project. The accuracy of correct recommendations for food, physical and mental therapies is 98.7%
History
Publication title
Proceedings of the ACM IMCOM 2015Pagination
1-5ISBN
978-1-4503-3377-1Department/School
School of Information and Communication TechnologyPublisher
Association for Computing MachineryPlace of publication
New York, USAEvent title
9th International Conference on Ubiquitous Information Management and CommunicationEvent Venue
Bali, IndonesiaDate of Event (Start Date)
2015-01-08Date of Event (End Date)
2015-01-10Rights statement
Copyright 2015 ACMRepository Status
- Restricted