Matches in SemOpenAlex for { <https://semopenalex.org/work/W3012353046> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3012353046 abstract "Healthcare industry contains vast amount of data, where analysis is essential in an optimal manner. Data mining provides viable tools and methods to extract knowledge and predict the presence or absence of disease in medical datasets. Various efficient models for disease diagnosis are presented in this paper. The proposed model includes imputation by median followed by support vector machines (SVM) for removing the noisy instances and multilayer perceptron (MLP) in classifying the datasets. For the tested datasets, the newly developed model achieved a data reduction of 3.14, 22.72 and 23.82% using SVM which is relatively less compared to K-means and genetic algorithm (GA). Among the different tested classifiers, MLP attained a high classification accuracy of 99.85, 99.34 and 100% compared with Naive Bayes and random forest. Further, the stability of the model is also tested on Wisconsin Diagnostic Breast Cancer (WDBC) dataset with no missing values." @default.
- W3012353046 created "2020-03-23" @default.
- W3012353046 creator A5012743028 @default.
- W3012353046 creator A5068459505 @default.
- W3012353046 date "2020-01-01" @default.
- W3012353046 modified "2023-09-25" @default.
- W3012353046 title "A Novel Approach Using Support Vector Machine for Outlier Removal and Multilayer Perceptron in Classifying Medical Datasets" @default.
- W3012353046 cites W1634075355 @default.
- W3012353046 cites W1997437882 @default.
- W3012353046 cites W2008056655 @default.
- W3012353046 cites W2029295760 @default.
- W3012353046 cites W2078590217 @default.
- W3012353046 cites W2131514409 @default.
- W3012353046 cites W2138744188 @default.
- W3012353046 cites W2161160262 @default.
- W3012353046 doi "https://doi.org/10.1007/978-981-15-2475-2_32" @default.
- W3012353046 hasPublicationYear "2020" @default.
- W3012353046 type Work @default.
- W3012353046 sameAs 3012353046 @default.
- W3012353046 citedByCount "0" @default.
- W3012353046 crossrefType "book-chapter" @default.
- W3012353046 hasAuthorship W3012353046A5012743028 @default.
- W3012353046 hasAuthorship W3012353046A5068459505 @default.
- W3012353046 hasConcept C119857082 @default.
- W3012353046 hasConcept C12267149 @default.
- W3012353046 hasConcept C124101348 @default.
- W3012353046 hasConcept C153180895 @default.
- W3012353046 hasConcept C154945302 @default.
- W3012353046 hasConcept C169258074 @default.
- W3012353046 hasConcept C179717631 @default.
- W3012353046 hasConcept C27181475 @default.
- W3012353046 hasConcept C41008148 @default.
- W3012353046 hasConcept C50644808 @default.
- W3012353046 hasConcept C52001869 @default.
- W3012353046 hasConcept C58041806 @default.
- W3012353046 hasConcept C79337645 @default.
- W3012353046 hasConcept C9357733 @default.
- W3012353046 hasConceptScore W3012353046C119857082 @default.
- W3012353046 hasConceptScore W3012353046C12267149 @default.
- W3012353046 hasConceptScore W3012353046C124101348 @default.
- W3012353046 hasConceptScore W3012353046C153180895 @default.
- W3012353046 hasConceptScore W3012353046C154945302 @default.
- W3012353046 hasConceptScore W3012353046C169258074 @default.
- W3012353046 hasConceptScore W3012353046C179717631 @default.
- W3012353046 hasConceptScore W3012353046C27181475 @default.
- W3012353046 hasConceptScore W3012353046C41008148 @default.
- W3012353046 hasConceptScore W3012353046C50644808 @default.
- W3012353046 hasConceptScore W3012353046C52001869 @default.
- W3012353046 hasConceptScore W3012353046C58041806 @default.
- W3012353046 hasConceptScore W3012353046C79337645 @default.
- W3012353046 hasConceptScore W3012353046C9357733 @default.
- W3012353046 hasLocation W30123530461 @default.
- W3012353046 hasOpenAccess W3012353046 @default.
- W3012353046 hasPrimaryLocation W30123530461 @default.
- W3012353046 hasRelatedWork W1526351492 @default.
- W3012353046 hasRelatedWork W1983521670 @default.
- W3012353046 hasRelatedWork W1985487944 @default.
- W3012353046 hasRelatedWork W1988482282 @default.
- W3012353046 hasRelatedWork W2053481403 @default.
- W3012353046 hasRelatedWork W2313070702 @default.
- W3012353046 hasRelatedWork W2514720311 @default.
- W3012353046 hasRelatedWork W2555074041 @default.
- W3012353046 hasRelatedWork W2611658067 @default.
- W3012353046 hasRelatedWork W2727048367 @default.
- W3012353046 hasRelatedWork W2750664433 @default.
- W3012353046 hasRelatedWork W2754510604 @default.
- W3012353046 hasRelatedWork W2889391228 @default.
- W3012353046 hasRelatedWork W2987304024 @default.
- W3012353046 hasRelatedWork W2995115464 @default.
- W3012353046 hasRelatedWork W3005118073 @default.
- W3012353046 hasRelatedWork W3160653963 @default.
- W3012353046 hasRelatedWork W3169745935 @default.
- W3012353046 hasRelatedWork W2400088669 @default.
- W3012353046 hasRelatedWork W2985807894 @default.
- W3012353046 isParatext "false" @default.
- W3012353046 isRetracted "false" @default.
- W3012353046 magId "3012353046" @default.
- W3012353046 workType "book-chapter" @default.