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        <datestamp>2022-03-24T23:11:32Z</datestamp>
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          <dc:title>Decision Support System Using CBR for Lung Diseases</dc:title>
          <dc:creator>Phyu, Hla Chan</dc:creator>
          <dc:creator>Sandar, Khin</dc:creator>
          <dc:description>Expert Systems imitate the reasoning process ofexperts for solving specific problems and employ humanknowledge captured in a case based memory. Theprincipal method use in the memory is case-basedreasoning method which can provide the solving newproblem by adapting previous solution to similarproblems. In this system, CBR’s cyclical process is usedto support enhancing a process’s performance of anexpert. This method retrieves the appropriate cases froma larger set of cases. If the similar between a new caseand the retrieved case are very high, the previoussolution to that case is returned to users. But if the casesare not exactly equal, the system gives the possible casesusing nearest neighbor retrieval method. This system istested on Postoperative Patient data.In this paper weconsider the patient who suffers lung and othersymptoms which may or may not be serious.The systemcan diagnose four types of lung disease.</dc:description>
          <dc:date>2009-12-30</dc:date>
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