Matches in SemOpenAlex for { <https://semopenalex.org/work/W2010214894> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2010214894 abstract "In this paper we use self organized fuzzy system to diagnosis and prognosis hepatitis and thyroid diseases. Moreover, we compare the result of fuzzy Neural Networks with Support Vector Machine(SVM) and artificial neural networks. In addition to diagnosis of disease, we identify the type and the phase of disease via the networks which include six classes for hepatitis disease, namely: hepatitis B (two phase) Hepatitis C (two phase), non-viral hepatitis and non-hepatitis and for thyroid disease we determine five classes, namely: Hypothyroid, Hyperthyroid, Sub-clinical hypothyroid, Sub-clinical hyperthyroid and No thyroid. The performance of each of them has studied and the best method is selected for each of classification tasks. The overall accuracy of diagnosis systems are improved as compared with previously published papers. For hepatitis disease the best accuracies range from 97.6% to 98.77% and for thyroid disease from 95.4% to 99.5%." @default.
- W2010214894 created "2016-06-24" @default.
- W2010214894 creator A5034364774 @default.
- W2010214894 creator A5064947550 @default.
- W2010214894 date "2010-10-01" @default.
- W2010214894 modified "2023-09-23" @default.
- W2010214894 title "Comparison of anfis Neural Network with several other ANNs and Support Vector Machine for diagnosing hepatitis and thyroid diseases" @default.
- W2010214894 cites W1964168965 @default.
- W2010214894 cites W2012510732 @default.
- W2010214894 cites W2019207321 @default.
- W2010214894 cites W2113076747 @default.
- W2010214894 cites W2115953835 @default.
- W2010214894 cites W2542202338 @default.
- W2010214894 doi "https://doi.org/10.1109/cisim.2010.5643520" @default.
- W2010214894 hasPublicationYear "2010" @default.
- W2010214894 type Work @default.
- W2010214894 sameAs 2010214894 @default.
- W2010214894 citedByCount "18" @default.
- W2010214894 countsByYear W20102148942012 @default.
- W2010214894 countsByYear W20102148942013 @default.
- W2010214894 countsByYear W20102148942014 @default.
- W2010214894 countsByYear W20102148942015 @default.
- W2010214894 countsByYear W20102148942016 @default.
- W2010214894 countsByYear W20102148942017 @default.
- W2010214894 countsByYear W20102148942019 @default.
- W2010214894 countsByYear W20102148942020 @default.
- W2010214894 countsByYear W20102148942021 @default.
- W2010214894 countsByYear W20102148942022 @default.
- W2010214894 crossrefType "proceedings-article" @default.
- W2010214894 hasAuthorship W2010214894A5034364774 @default.
- W2010214894 hasAuthorship W2010214894A5064947550 @default.
- W2010214894 hasConcept C119857082 @default.
- W2010214894 hasConcept C12267149 @default.
- W2010214894 hasConcept C126322002 @default.
- W2010214894 hasConcept C154945302 @default.
- W2010214894 hasConcept C186108316 @default.
- W2010214894 hasConcept C195975749 @default.
- W2010214894 hasConcept C2776029263 @default.
- W2010214894 hasConcept C2777072776 @default.
- W2010214894 hasConcept C2779134260 @default.
- W2010214894 hasConcept C2780176905 @default.
- W2010214894 hasConcept C41008148 @default.
- W2010214894 hasConcept C50644808 @default.
- W2010214894 hasConcept C526584372 @default.
- W2010214894 hasConcept C58166 @default.
- W2010214894 hasConcept C71924100 @default.
- W2010214894 hasConceptScore W2010214894C119857082 @default.
- W2010214894 hasConceptScore W2010214894C12267149 @default.
- W2010214894 hasConceptScore W2010214894C126322002 @default.
- W2010214894 hasConceptScore W2010214894C154945302 @default.
- W2010214894 hasConceptScore W2010214894C186108316 @default.
- W2010214894 hasConceptScore W2010214894C195975749 @default.
- W2010214894 hasConceptScore W2010214894C2776029263 @default.
- W2010214894 hasConceptScore W2010214894C2777072776 @default.
- W2010214894 hasConceptScore W2010214894C2779134260 @default.
- W2010214894 hasConceptScore W2010214894C2780176905 @default.
- W2010214894 hasConceptScore W2010214894C41008148 @default.
- W2010214894 hasConceptScore W2010214894C50644808 @default.
- W2010214894 hasConceptScore W2010214894C526584372 @default.
- W2010214894 hasConceptScore W2010214894C58166 @default.
- W2010214894 hasConceptScore W2010214894C71924100 @default.
- W2010214894 hasLocation W20102148941 @default.
- W2010214894 hasOpenAccess W2010214894 @default.
- W2010214894 hasPrimaryLocation W20102148941 @default.
- W2010214894 hasRelatedWork W1996541855 @default.
- W2010214894 hasRelatedWork W2748952813 @default.
- W2010214894 hasRelatedWork W2937631562 @default.
- W2010214894 hasRelatedWork W2979979539 @default.
- W2010214894 hasRelatedWork W3136979370 @default.
- W2010214894 hasRelatedWork W3194539120 @default.
- W2010214894 hasRelatedWork W3195168932 @default.
- W2010214894 hasRelatedWork W4205958290 @default.
- W2010214894 hasRelatedWork W4361795583 @default.
- W2010214894 hasRelatedWork W4362499384 @default.
- W2010214894 isParatext "false" @default.
- W2010214894 isRetracted "false" @default.
- W2010214894 magId "2010214894" @default.
- W2010214894 workType "article" @default.