FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2072897179> ?p ?o ?g. }

• W2072897179 abstract "In this paper, we address the problem of diagnosis of a chronic eye disease which is the Primary Open Angle Glaucoma (POAG) disease. It is called the “sneak thief” of sight since the slowly and undetected damage of the optic nerve in the early stages of the disease. The research tends to achieve an early and accurate diagnosis of glaucoma based on an ensemble classifier by integrating the principal component analysis (PCA) with rotation forest tree (ROT). The evaluation performance has been accomplished with three well known classifiers namely Neural Network (NN), Decision Tree (DT) and Fuzzy Logic classifiers. The data is collected using an empirical data collected of Egypt Air hospital. It was observed that ROT achieved the highest classification accuracy in most tested cases. The experiments show that the overall accuracy offered by the employed technique is high compared to other machine learning techniques used in the research. It is believed that the ensemble classifier ROT could perform high accuracy in classification process." @default.
• W2072897179 created "2016-06-24" @default.
• W2072897179 creator A5026674783 @default.
• W2072897179 creator A5085432173 @default.
• W2072897179 creator A5085485780 @default.
• W2072897179 creator A5091569433 @default.
• W2072897179 date "2014-04-01" @default.
• W2072897179 modified "2023-09-27" @default.
• W2072897179 title "Chronic eye disease diagnosis using ensemble-based classifier" @default.
• W2072897179 cites W102256548 @default.
• W2072897179 cites W124367838 @default.
• W2072897179 cites W127458824 @default.
• W2072897179 cites W147739434 @default.
• W2072897179 cites W1520111 @default.
• W2072897179 cites W1552050847 @default.
• W2072897179 cites W1576395266 @default.
• W2072897179 cites W1865546541 @default.
• W2072897179 cites W1966907853 @default.
• W2072897179 cites W1983333373 @default.
• W2072897179 cites W1988790447 @default.
• W2072897179 cites W1991755985 @default.
• W2072897179 cites W1992772258 @default.
• W2072897179 cites W2003351810 @default.
• W2072897179 cites W2010372986 @default.
• W2072897179 cites W2012130396 @default.
• W2072897179 cites W2012160023 @default.
• W2072897179 cites W2024831818 @default.
• W2072897179 cites W2040292433 @default.
• W2072897179 cites W2047178949 @default.
• W2072897179 cites W2054474545 @default.
• W2072897179 cites W2055206418 @default.
• W2072897179 cites W2056440957 @default.
• W2072897179 cites W2064980575 @default.
• W2072897179 cites W2096782605 @default.
• W2072897179 cites W2097381359 @default.
• W2072897179 cites W2108704825 @default.
• W2072897179 cites W2120711134 @default.
• W2072897179 cites W2122122127 @default.
• W2072897179 cites W2124868070 @default.
• W2072897179 cites W2130556178 @default.
• W2072897179 cites W2139421285 @default.
• W2072897179 cites W2150757437 @default.
• W2072897179 cites W2155481274 @default.
• W2072897179 cites W2157875785 @default.
• W2072897179 cites W2158275940 @default.
• W2072897179 cites W2170426635 @default.
• W2072897179 cites W2327251427 @default.
• W2072897179 cites W2487087946 @default.
• W2072897179 cites W2911964244 @default.
• W2072897179 cites W31739655 @default.
• W2072897179 cites W651124546 @default.
• W2072897179 cites W93966645 @default.
• W2072897179 doi "https://doi.org/10.1109/icengtechnol.2014.7016799" @default.
• W2072897179 hasPublicationYear "2014" @default.
• W2072897179 type Work @default.
• W2072897179 sameAs 2072897179 @default.
• W2072897179 citedByCount "1" @default.
• W2072897179 countsByYear W20728971792021 @default.
• W2072897179 crossrefType "proceedings-article" @default.
• W2072897179 hasAuthorship W2072897179A5026674783 @default.
• W2072897179 hasAuthorship W2072897179A5085432173 @default.
• W2072897179 hasAuthorship W2072897179A5085485780 @default.
• W2072897179 hasAuthorship W2072897179A5091569433 @default.
• W2072897179 hasConcept C118487528 @default.
• W2072897179 hasConcept C119857082 @default.
• W2072897179 hasConcept C153180895 @default.
• W2072897179 hasConcept C154945302 @default.
• W2072897179 hasConcept C27438332 @default.
• W2072897179 hasConcept C2778527774 @default.
• W2072897179 hasConcept C41008148 @default.
• W2072897179 hasConcept C45942800 @default.
• W2072897179 hasConcept C50644808 @default.
• W2072897179 hasConcept C58166 @default.
• W2072897179 hasConcept C71924100 @default.
• W2072897179 hasConcept C84525736 @default.
• W2072897179 hasConcept C95623464 @default.
• W2072897179 hasConceptScore W2072897179C118487528 @default.
• W2072897179 hasConceptScore W2072897179C119857082 @default.
• W2072897179 hasConceptScore W2072897179C153180895 @default.
• W2072897179 hasConceptScore W2072897179C154945302 @default.
• W2072897179 hasConceptScore W2072897179C27438332 @default.
• W2072897179 hasConceptScore W2072897179C2778527774 @default.
• W2072897179 hasConceptScore W2072897179C41008148 @default.
• W2072897179 hasConceptScore W2072897179C45942800 @default.
• W2072897179 hasConceptScore W2072897179C50644808 @default.
• W2072897179 hasConceptScore W2072897179C58166 @default.
• W2072897179 hasConceptScore W2072897179C71924100 @default.
• W2072897179 hasConceptScore W2072897179C84525736 @default.
• W2072897179 hasConceptScore W2072897179C95623464 @default.
• W2072897179 hasLocation W20728971791 @default.
• W2072897179 hasOpenAccess W2072897179 @default.
• W2072897179 hasPrimaryLocation W20728971791 @default.
• W2072897179 hasRelatedWork W1552936801 @default.
• W2072897179 hasRelatedWork W2022947279 @default.
• W2072897179 hasRelatedWork W2065131713 @default.
• W2072897179 hasRelatedWork W2066688598 @default.
• W2072897179 hasRelatedWork W2078464941 @default.
• W2072897179 hasRelatedWork W2112068334 @default.
• W2072897179 hasRelatedWork W2142951908 @default.
• W2072897179 hasRelatedWork W2157924677 @default.

• next