Matches in SemOpenAlex for { <https://semopenalex.org/work/W3045836027> ?p ?o ?g. }
Showing items 1 to 48 of
48
with 100 items per page.
- W3045836027 endingPage "75" @default.
- W3045836027 startingPage "69" @default.
- W3045836027 abstract "The paper shows the effect of PCA and LDA, for dimension reduction and early fusion, in the framework of the Diabetes disease diagnostic system. Several ANN architectures were evaluated to obtain the optimum classification model. Confusion matrix-based analysis was performed to analyze the effect of dimension reduction. PIMA Indians Diabetes dataset was used for evaluation. The diabetes detection accuracy of 87.8% was obtained using original patient records fused with the first six PCA dimensions. Similar detection accuracy was achieved using the first six LDA dimensions. Relative detection accuracy of fused features increased by 15 and 3% compared to detection accuracy with the original patient record and PCA features without fusion, respectively." @default.
- W3045836027 created "2020-08-03" @default.
- W3045836027 creator A5046664222 @default.
- W3045836027 creator A5072041373 @default.
- W3045836027 date "2020-01-01" @default.
- W3045836027 modified "2023-10-18" @default.
- W3045836027 title "Comparative Analysis of PCA and LDA Early Fusion for ANN-Based Diabetes Diagnostic System" @default.
- W3045836027 cites W1982934478 @default.
- W3045836027 cites W2016979930 @default.
- W3045836027 cites W2045262022 @default.
- W3045836027 cites W2078855524 @default.
- W3045836027 cites W2892136491 @default.
- W3045836027 doi "https://doi.org/10.1007/978-981-15-4029-5_7" @default.
- W3045836027 hasPublicationYear "2020" @default.
- W3045836027 type Work @default.
- W3045836027 sameAs 3045836027 @default.
- W3045836027 citedByCount "1" @default.
- W3045836027 countsByYear W30458360272022 @default.
- W3045836027 crossrefType "book-chapter" @default.
- W3045836027 hasAuthorship W3045836027A5046664222 @default.
- W3045836027 hasAuthorship W3045836027A5072041373 @default.
- W3045836027 hasConcept C153180895 @default.
- W3045836027 hasConcept C154945302 @default.
- W3045836027 hasConcept C27438332 @default.
- W3045836027 hasConcept C41008148 @default.
- W3045836027 hasConceptScore W3045836027C153180895 @default.
- W3045836027 hasConceptScore W3045836027C154945302 @default.
- W3045836027 hasConceptScore W3045836027C27438332 @default.
- W3045836027 hasConceptScore W3045836027C41008148 @default.
- W3045836027 hasLocation W30458360271 @default.
- W3045836027 hasOpenAccess W3045836027 @default.
- W3045836027 hasPrimaryLocation W30458360271 @default.
- W3045836027 hasRelatedWork W2028080587 @default.
- W3045836027 hasRelatedWork W2093715904 @default.
- W3045836027 hasRelatedWork W2114966906 @default.
- W3045836027 hasRelatedWork W2367227827 @default.
- W3045836027 hasRelatedWork W2380927352 @default.
- W3045836027 hasRelatedWork W2775543769 @default.
- W3045836027 hasRelatedWork W3048981730 @default.
- W3045836027 hasRelatedWork W3178621026 @default.
- W3045836027 hasRelatedWork W4211209597 @default.
- W3045836027 hasRelatedWork W2137598809 @default.
- W3045836027 isParatext "false" @default.
- W3045836027 isRetracted "false" @default.
- W3045836027 magId "3045836027" @default.
- W3045836027 workType "book-chapter" @default.