Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136123156> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W3136123156 abstract "Breast cancer disease is recognized as the common extensive malignant tumor in between women. Identification of the initial stage of malignant growth may treatment of this disease. Early treatment helps to alleviate the disease and helps anticipate its recurrence in women. Experts have used some fact checks and different medical methods or equipment to improve the accuracy of conclusions in clinical medical service management. In this article, it extensively discussed the implementation of data mining strategies to detection as well as prediction of breast malignant tumors, including random forest (RF), support vector classifier (SVC), k-nearest neighbors (KNN), linear discriminant analysis (LDA), Gradient Boosting Classifier (GBC), Decision Tree (DT) In addition, principal component analysis (PCA) to underline changes and show strong patterns in the informational index. The connection framework is likewise used to show the level of close relationship between attributes. The sequential feature selection (SFS) method is used for comparing the accuracy of a data set with all features and the accuracy of a classifier with selected features. The results show thatRF_sfs, KNN_sfs, SVC_rbf and SVC_sfs have the highest and equal accuracy, which is 97.66%. They perform well and can predict the growth of harmful malignant tumors." @default.
- W3136123156 created "2021-03-29" @default.
- W3136123156 creator A5078322773 @default.
- W3136123156 date "2021-03-17" @default.
- W3136123156 modified "2023-09-28" @default.
- W3136123156 title "Prediction of Presence of Breast Cancer Disease in the Patient using Machine Learning Algorithms and SFS" @default.
- W3136123156 hasPublicationYear "2021" @default.
- W3136123156 type Work @default.
- W3136123156 sameAs 3136123156 @default.
- W3136123156 citedByCount "0" @default.
- W3136123156 crossrefType "posted-content" @default.
- W3136123156 hasAuthorship W3136123156A5078322773 @default.
- W3136123156 hasConcept C119857082 @default.
- W3136123156 hasConcept C121608353 @default.
- W3136123156 hasConcept C12267149 @default.
- W3136123156 hasConcept C124101348 @default.
- W3136123156 hasConcept C126322002 @default.
- W3136123156 hasConcept C153180895 @default.
- W3136123156 hasConcept C154945302 @default.
- W3136123156 hasConcept C169258074 @default.
- W3136123156 hasConcept C27438332 @default.
- W3136123156 hasConcept C41008148 @default.
- W3136123156 hasConcept C46686674 @default.
- W3136123156 hasConcept C530470458 @default.
- W3136123156 hasConcept C69738355 @default.
- W3136123156 hasConcept C70153297 @default.
- W3136123156 hasConcept C71924100 @default.
- W3136123156 hasConcept C84525736 @default.
- W3136123156 hasConcept C95623464 @default.
- W3136123156 hasConceptScore W3136123156C119857082 @default.
- W3136123156 hasConceptScore W3136123156C121608353 @default.
- W3136123156 hasConceptScore W3136123156C12267149 @default.
- W3136123156 hasConceptScore W3136123156C124101348 @default.
- W3136123156 hasConceptScore W3136123156C126322002 @default.
- W3136123156 hasConceptScore W3136123156C153180895 @default.
- W3136123156 hasConceptScore W3136123156C154945302 @default.
- W3136123156 hasConceptScore W3136123156C169258074 @default.
- W3136123156 hasConceptScore W3136123156C27438332 @default.
- W3136123156 hasConceptScore W3136123156C41008148 @default.
- W3136123156 hasConceptScore W3136123156C46686674 @default.
- W3136123156 hasConceptScore W3136123156C530470458 @default.
- W3136123156 hasConceptScore W3136123156C69738355 @default.
- W3136123156 hasConceptScore W3136123156C70153297 @default.
- W3136123156 hasConceptScore W3136123156C71924100 @default.
- W3136123156 hasConceptScore W3136123156C84525736 @default.
- W3136123156 hasConceptScore W3136123156C95623464 @default.
- W3136123156 hasLocation W31361231561 @default.
- W3136123156 hasOpenAccess W3136123156 @default.
- W3136123156 hasPrimaryLocation W31361231561 @default.
- W3136123156 hasRelatedWork W2911198546 @default.
- W3136123156 hasRelatedWork W2913994456 @default.
- W3136123156 hasRelatedWork W2989272346 @default.
- W3136123156 hasRelatedWork W3000898198 @default.
- W3136123156 hasRelatedWork W3010575823 @default.
- W3136123156 hasRelatedWork W3019242397 @default.
- W3136123156 hasRelatedWork W3040266472 @default.
- W3136123156 hasRelatedWork W3047705758 @default.
- W3136123156 hasRelatedWork W3084314056 @default.
- W3136123156 hasRelatedWork W3088233101 @default.
- W3136123156 hasRelatedWork W3090694324 @default.
- W3136123156 hasRelatedWork W3101126220 @default.
- W3136123156 hasRelatedWork W3108908046 @default.
- W3136123156 hasRelatedWork W3126015411 @default.
- W3136123156 hasRelatedWork W3126739079 @default.
- W3136123156 hasRelatedWork W3128835046 @default.
- W3136123156 hasRelatedWork W3131132402 @default.
- W3136123156 hasRelatedWork W3157681299 @default.
- W3136123156 hasRelatedWork W3171705994 @default.
- W3136123156 hasRelatedWork W3205686579 @default.
- W3136123156 isParatext "false" @default.
- W3136123156 isRetracted "false" @default.
- W3136123156 magId "3136123156" @default.
- W3136123156 workType "article" @default.