Selecting the appropriate size of the graph for self-diagnostic model with graph density

Sutat Gammanee (King Mongkut Technology North Bangkok)
Sunantha Sodsee (King Mongkut's University of Technology North Bangkok)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 26, No 3: June 2022

Self-diagnosis is the concept of self-diagnosing disease from symptoms. Wehavetheideatocreateself-diagnosticmodelsfromdiagnosticdata. Thedatatobeanalyzedwerefromamedium-sizedhospitalinThailand. Themodelisdividedbystructureddataandunstructureddata. Thefirststepistoprocessstructureddatawithclusteralgorithms. Thesecondstepistoevaluatetheunstructureddatatogroupsymptomsintoabipartitegraph. Afterthegraphwascreated,themodelwasdividedinto10levels,accordingtothelevelofsimilarity. Thisresearchaimstoapplytheconceptofdensitygraph,theKappasandmultiplelinegraphtoselectingtheappropriatediagnosismodel. Theresultsofallthreeexperimentsshowedthattheappropriatemodelwasatalevelofsimilarityat40%.Wehavetheideatocreateself-diagnosticmodelsfromdiagnosticdata. Thedatatobeanalyzedwerefromamedium-sizedhospitalinThailand. Themodelisdividedbystructureddataandunstructureddata. Thefirststepistoprocessstructureddatawithclusteralgorithms. Thesecondstepistoevaluatetheunstructureddatatogroupsymptomsintoabipartitegraph. Afterthegraphwascreated,themodelwasdividedinto10levels,accordingtothelevelofsimilarity. Thisresearchaimstoapplytheconceptofdensitygraph,theKappasandmultiplelinegraphtoselectingtheappropriatediagnosismodel. Theresultsofallthreeexperimentsshowedthattheappropriatemodelwasatalevelofsimilarityat40