A Swarm Optimization approach for clinical knowledge mining. Issue 3 (October 2015)

• Record Type: Journal Article
• Authors: Christopher, J. Jabez; Nehemiah, H. Khanna; Kannan, A.
• Is Part Of: Computer methods and programs in biomedicine. Volume 121:Issue 3(2015)
• Page Start: 137
• Page End: 148
• Publication Date: 2015-10
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.05.007
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">Wind-driven Swarm Optimization (WSO) is used for optimizing the rule base of a Clinical Decision Support System.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">WSO is a bio-inspired approach inspired from the flight of birds.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">WSO uses Jval to evaluate the efficiency of a rule based CDSS.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">Experiments with six medical datasets show that WSO provides efficient rulesets.</p> </list-item> <list-item id="lsti0025"> <label></label> <p id="par0025">The novelty of WSO lies in its biological motivation and customization for rule base optimization.</p> </list-item> </list> </p> </sec> </abstract>