title: Context-Awareness Based Personalized Recommendation of Anti-Hypertension Drugs.
abstract: The World Health Organization estimates that almost one-third of the world's adult population are suffering from hypertension which has gradually become a "silent killer". Due to the varieties of anti-hypertensive drugs, patients are interested in how these drugs can be selected to match their respective conditions. This study provides a personalized recommendation service system of anti-hypertensive drugs based on context-awareness and designs a context ontology framework of the service. In addition, this paper introduces a Semantic Web Rule Language (SWRL)-based rule to provide high-level context reasoning and information recommendation and to overcome the limitation of ontology reasoning. To make the information recommendation of the drugs more personalized, this study also devises three categories of information recommendation rules that match different priority levels and uses a ranking algorithm to optimize the recommendation. The experiment conducted shows that combining the anti-hypertensive drugs personalized recommendation service context ontology (HyRCO) with the optimized rule reasoning can achieve a higher-quality personalized drug recommendation service. Accordingly this exploratory study of the personalized recommendation service for hypertensive drugs and its method can be easily adopted for other diseases.
authors.affiliation: School of Information Management, Wuhan University, Wuhan, China.
authors.forename: Dexin
authors.initials: D
authors.lastname: Chen
authors.affiliation: School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China. jdw@zuel.edu.cn.
authors.forename: Dawei
authors.initials: D
authors.lastname: Jin
authors.affiliation: School of Information Management, Victoria University of Wellington, Wellington, New Zealand.
authors.forename: Tiong-Thye
authors.initials: TT
authors.lastname: Goh
authors.affiliation: School of Information Management, Wuhan University, Wuhan, China.
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.affiliation: School of Information Management, Wuhan University, Wuhan, China.
authors.forename: Leiru
authors.initials: L
authors.lastname: Wei
mesh_terms: D000959:Antihypertensive Agents; D003195:Computer Communication Networks; D006973:Hypertension / Q000188:drug therapy; D020407:Internet; D008490:Medical Informatics; D058998:Remote Sensing Technology; D012660:Semantics
chemical_list: D000959:Antihypertensive Agents
keywords: Anti-hypertensive drugs; Context-aware; Ontology; SWRL