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

Sutat Gammanee, Sunantha Sodsee

Abstract


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

Keywords


Bipatite graph Graph density; Machine learning;

Full Text:

PDF


DOI: http://doi.org/10.11591/ijeecs.v26.i3.pp1556-1563

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics