Matches in SemOpenAlex for { <https://semopenalex.org/work/W2316407598> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2316407598 abstract "Developing the system which will help doctors with the result to be obtained from the medical data sets by realizing the design of the medical decision support system in which data mining methods are used is the primary objective of this study. The survivability condition of metastatic colorectal cancer disease has been predicted using data mining methods in the developed system. In the process of data mining, after the phase of data preprocessing, Support Vector Machines, Naive Bayes, Decision Trees, Artificial Neural Networks, Multilayer Perceptron, Logistic Regression algorithms have been used. In the study, two different medical decision support system models, classifying prediction and hybrid models, have been developed, and the results obtained from the two models have been compared after being examined. While the most successful algorithm is Support Vector Machines in Classifying Prediction Model in which only classification algorithms are applied, it is Decision Trees and Artificial Neural Networks which are the most successful algorithms with an accuracy rate of 100 per cent in Hybrid Prediction Model. In consequence of the classifying processes, when the accuracy rates of the models are examined, it is seen that while the accuracy rate of Classifying Prediction Model is 65-70%, this rate reaches 95-100% in Hybrid Prediction Model. It has been seen that accuracy rates have elicited very high and very close values for all of the algorithms with the realized hybrid structure, that is, with clustering, in the applications of the classifying algorithms combined." @default.
- W2316407598 created "2016-06-24" @default.
- W2316407598 creator A5030051378 @default.
- W2316407598 creator A5038348296 @default.
- W2316407598 date "2016-01-01" @default.
- W2316407598 modified "2023-10-14" @default.
- W2316407598 title "Design of Decision Support System in the Metastatic Colorectal Cancer Data Set and Its Application" @default.
- W2316407598 doi "https://doi.org/10.17694/bajece.23930" @default.
- W2316407598 hasPublicationYear "2016" @default.
- W2316407598 type Work @default.
- W2316407598 sameAs 2316407598 @default.
- W2316407598 citedByCount "2" @default.
- W2316407598 countsByYear W23164075982020 @default.
- W2316407598 countsByYear W23164075982022 @default.
- W2316407598 crossrefType "journal-article" @default.
- W2316407598 hasAuthorship W2316407598A5030051378 @default.
- W2316407598 hasAuthorship W2316407598A5038348296 @default.
- W2316407598 hasBestOaLocation W23164075982 @default.
- W2316407598 hasConcept C107327155 @default.
- W2316407598 hasConcept C121608353 @default.
- W2316407598 hasConcept C124101348 @default.
- W2316407598 hasConcept C126322002 @default.
- W2316407598 hasConcept C143998085 @default.
- W2316407598 hasConcept C154945302 @default.
- W2316407598 hasConcept C177264268 @default.
- W2316407598 hasConcept C199360897 @default.
- W2316407598 hasConcept C2522767166 @default.
- W2316407598 hasConcept C41008148 @default.
- W2316407598 hasConcept C526805850 @default.
- W2316407598 hasConcept C58489278 @default.
- W2316407598 hasConcept C71924100 @default.
- W2316407598 hasConceptScore W2316407598C107327155 @default.
- W2316407598 hasConceptScore W2316407598C121608353 @default.
- W2316407598 hasConceptScore W2316407598C124101348 @default.
- W2316407598 hasConceptScore W2316407598C126322002 @default.
- W2316407598 hasConceptScore W2316407598C143998085 @default.
- W2316407598 hasConceptScore W2316407598C154945302 @default.
- W2316407598 hasConceptScore W2316407598C177264268 @default.
- W2316407598 hasConceptScore W2316407598C199360897 @default.
- W2316407598 hasConceptScore W2316407598C2522767166 @default.
- W2316407598 hasConceptScore W2316407598C41008148 @default.
- W2316407598 hasConceptScore W2316407598C526805850 @default.
- W2316407598 hasConceptScore W2316407598C58489278 @default.
- W2316407598 hasConceptScore W2316407598C71924100 @default.
- W2316407598 hasIssue "1" @default.
- W2316407598 hasLocation W23164075981 @default.
- W2316407598 hasLocation W23164075982 @default.
- W2316407598 hasLocation W23164075983 @default.
- W2316407598 hasOpenAccess W2316407598 @default.
- W2316407598 hasPrimaryLocation W23164075981 @default.
- W2316407598 hasRelatedWork W2032501302 @default.
- W2316407598 hasRelatedWork W2091018730 @default.
- W2316407598 hasRelatedWork W2098669189 @default.
- W2316407598 hasRelatedWork W2099940443 @default.
- W2316407598 hasRelatedWork W2113904186 @default.
- W2316407598 hasRelatedWork W2250140425 @default.
- W2316407598 hasRelatedWork W2389064843 @default.
- W2316407598 hasRelatedWork W2389272265 @default.
- W2316407598 hasRelatedWork W2734587838 @default.
- W2316407598 hasRelatedWork W2758561209 @default.
- W2316407598 hasVolume "4" @default.
- W2316407598 isParatext "false" @default.
- W2316407598 isRetracted "false" @default.
- W2316407598 magId "2316407598" @default.
- W2316407598 workType "article" @default.