Taban, Momeneh (2014) A recommender system for breast cancer patients. Masters thesis, Memorial University of Newfoundland.
- Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
An ongoing challenge in the information age is finding information relevant to a particular need. One area in which this is particularly problematic is the medical do- main, where patients suffering from certain conditions seek advice on managing their health. Personalized recommendations can be useful in this context. A recommender system can assist users to locate relevant information and choose the best option that matches their needs. This thesis developed a Breast Cancer Recommender System (BCRS) which rec- ommends health related articles appropriate for patients confronting breast cancer. BCRS applies a hybrid algorithm which combines collaborative filtering and content based approaches to generate recommendations. Article recommendations can be categorized in four main groups: life style, emotional concerns, risk factors and treat- ment. To examine the quality and perceived usefulness of article recommendations, a preliminary evaluation was conducted using female medical students of Memorial University.
|Item Type:||Thesis (Masters)|
|Additional Information:||Includes bibliographical references (pages 59-66).|
|Department(s):||Science, Faculty of > Computer Science|
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