文章基本信息

标题：SEPHYRES 1 A Physician Recommender System Based on Semantic Pain Descriptors and Multifaceted Reasoning
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作者：Ali Sanaeifar ; Ahmad Faraahi ; Mahmood Tara 等
期刊名称：International Journal of Collaborative Research on Internal Medicine & Public Health
电子版ISSN：1840-4529
出版年度：2018
卷号：10
期号：1
页码：1-12
语种：English
出版社：DRUNPP Sarajevo
摘要：Physician recommender systems have emerged aimed at recommending the right physicians in accordance with patient preferences. However, such systems have been only based on techniques such as classification or syntax word-based search from previous patient recommendations and conditions with limited capabilities. In this paper, we propose a new model, we call SEPHYRES (semantic physician hybrid recommender expert system), through which we focus on the patient's medical conditions and pain description characteristics using an underlying evidence-based ontology. The ontology includes not only the semantic descriptions of the symptoms, but also the machineunderstandable perceptions of the pain location and the link weights. In the proposed model, we applied a weight spreading pseudo-fuzzy method along with the general semantic reasoners with facets management module. To keep the domain manageable, we limited the scheme to diseases that cause abdominal pain. We used Harrison's Principles of Internal Medicine and Up-to-date online as our base evidence references along with the opinions from our local experts. We compared the results from our pseudo-diagnostic engine with twenty case studies from MEDSCAPE and PubMed databases. The results showed that our model can improve the machine awareness about the individual’s disease and thus improve the accuracy of recommendations.
关键词：Physician recommender;Medical diagnosis;Disease ontology;Semantic reasoning