Recommender System for Personalised Wellness Therapy

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چکیده

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Recommender System for Personalised Wellness Therapy

rising costs and risks in health care have shifted the preference of individuals from health treatment to disease prevention. This prevention treatment is known as wellness. In recent years, the Internet has become a popular place for wellness-conscious users to search for wellness-related information and solutions. As the user community becomes more wellness conscious, service improvement is n...

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At the Systems Biology Lab of the University of Florida, we are developing an integrated system, PHW service, for accessing and storing and monitoring information in personalised medicine. We intend to take a practical approach to build such a system in the framework of clinical and translational sciences of the NIH Roadmap.

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Designing a Personalised Case-Based Recommender System for Mobile Self-Management of Diabetes During Exercise

Increasing physical activity for type 1 diabetes patients is associated with physical and mental health benefits. However, the control of blood glucose levels for diabetes requires an effective balance of carbohydrate intake and insulin dosage to maintain a balanced blood glucose level before, during and after exercise. Existing mobile applications lack an intervention module that help users ma...

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Discovering Relevant Preferences in a Personalised Recommender System using Machine Learning Techniques

Personalised recommender systems learn about a user’s needs, and identify and suggest information items (news articles, images, videos, etc.) that meet those needs. User needs can be explicitly or implicitly defined either in the form of user tastes, interests and goals, or by system parameters and configurations. Most research efforts in the Recommender Systems field can be said to have been d...

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2013

ISSN: 2158-107X,2156-5570

DOI: 10.14569/ijacsa.2013.040909