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In this paper, we present our framework that objectively generates query from computerized clinical practice guidelines (CPGs), and determines its query type. It submits the dasiagenerated querypsila to PubMed using dasiaweb servicespsila to dasiaretrieve and linkpsila relevant medical literature pertaining to dasiacomputerized CPGs contentpsila. The framework makes use of contexts, semantics, statistical information and meta-info of the medical phrases in computerized CPG content (Extended-Knowledge Components). The medical literature dasiaretrieved and linkedpsila, by our framework, is semantically and contextually correlated to the dasiacomputerized CPGpsila knowledge content.
Hashmi et al. (Sat,) studied this question.