Semantically-enabled Personal Medical Information Recommender.
Haridimos Kondylakis, Lefteris Koumakis, Maria Psaraki, Georgia Troullinou, Maria Evangelia Chatzimina, Eleni Kazantzaki, Kostas Marias, Manolis Tsiknakis · International Semantic Web Conference · 2015
Word wide web has become the first choice of patients to inform themselves about their disease, side effects and possible treatments. While patient’s knowledge from internet is widely regarded as having a positive influence on the treatment, a lot of criticism exists for the quality and the diversity of the available information. In this paper we demonstrate the Personal Medical Information Recommender (PMIR), a semantically-enabled, intelligent platform that empowers patients to search in a high quality set of web documents for relevant medical knowledge. In addition, the platform automatically provides intelligent and personalized recommendations, according to the individual preferences and medical conditions. To demonstrate the platform example patients will be used to show the functionality of the system. Then we will allow conference participants to directly interact with the system to test its capabilities.