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Seminar: A Recommender System for Breast Cancer Patients
Paul Price

Momeneh Taban
M.Sc. Candidate
Supervisor: Dr. Jeffrey Parsons

Department of Computer Science
Wednesday, October 24, 2012, 12:00 p.m., Room EN 2022


Abstract


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 domain, 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 will concentrate on designing and developing a recommender system for patients who suffer from breast cancer. The system will be designed to provide users with some behavioral, dietary and medication guidelines, as well as to provide its users with some information about products and services related to their disease. The recommender system will use patients’ individual information (i.e. current health status, life style, personal information) to generate personalized recommendations.

Oct 22nd, 2012

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