Matches in SemOpenAlex for { <https://semopenalex.org/work/W3118646005> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W3118646005 abstract "The rapidly changing lifestyle of the people in the modern era has led to a significant increase in their health issues. This busy lifestyle can delay the diagnosis of the disease which may at time be able to prove fatal. Breast cancer is one of the most prominent causes of deaths among women. However, the recent advancements in the technology have been proved to provide promising solutions to address this issue. The application of intelligent techniques can help in diagnosing breast cancer in early stages thereby reducing the chances of fatality. This has motivated several researchers to apply machine learning methods for the detection of breast cancer and as such it has become the locus of most of the ongoing research in recent times. The work presented in this paper aims to analyse the performance of multiple machine learning classifiers in detecting breast cancer. The obtained results clearly indicate the efficacy of linear support vector classifier and gradient boosting over other classifiers. The findings of this research can be further utilized for developing more efficient ensemble models as well as optimizing the performance of existing models thereby increasing their prediction accuracy." @default.
- W3118646005 created "2021-01-18" @default.
- W3118646005 creator A5013077908 @default.
- W3118646005 creator A5048796016 @default.
- W3118646005 creator A5056131165 @default.
- W3118646005 creator A5086493627 @default.
- W3118646005 date "2020-09-17" @default.
- W3118646005 modified "2023-10-16" @default.
- W3118646005 title "Breast Cancer Detection Using Supervised Machine Learning: A Comparative Analysis" @default.
- W3118646005 cites W2048660210 @default.
- W3118646005 cites W2118483385 @default.
- W3118646005 cites W2124611117 @default.
- W3118646005 cites W2190746225 @default.
- W3118646005 cites W22040386 @default.
- W3118646005 cites W2214125478 @default.
- W3118646005 cites W2403428375 @default.
- W3118646005 cites W2569219946 @default.
- W3118646005 cites W2773381949 @default.
- W3118646005 doi "https://doi.org/10.1007/978-981-15-4936-6_29" @default.
- W3118646005 hasPublicationYear "2020" @default.
- W3118646005 type Work @default.
- W3118646005 sameAs 3118646005 @default.
- W3118646005 citedByCount "0" @default.
- W3118646005 crossrefType "book-chapter" @default.
- W3118646005 hasAuthorship W3118646005A5013077908 @default.
- W3118646005 hasAuthorship W3118646005A5048796016 @default.
- W3118646005 hasAuthorship W3118646005A5056131165 @default.
- W3118646005 hasAuthorship W3118646005A5086493627 @default.
- W3118646005 hasConcept C119857082 @default.
- W3118646005 hasConcept C121608353 @default.
- W3118646005 hasConcept C12267149 @default.
- W3118646005 hasConcept C126322002 @default.
- W3118646005 hasConcept C136389625 @default.
- W3118646005 hasConcept C154945302 @default.
- W3118646005 hasConcept C41008148 @default.
- W3118646005 hasConcept C45942800 @default.
- W3118646005 hasConcept C46686674 @default.
- W3118646005 hasConcept C50644808 @default.
- W3118646005 hasConcept C530470458 @default.
- W3118646005 hasConcept C71924100 @default.
- W3118646005 hasConcept C95623464 @default.
- W3118646005 hasConceptScore W3118646005C119857082 @default.
- W3118646005 hasConceptScore W3118646005C121608353 @default.
- W3118646005 hasConceptScore W3118646005C12267149 @default.
- W3118646005 hasConceptScore W3118646005C126322002 @default.
- W3118646005 hasConceptScore W3118646005C136389625 @default.
- W3118646005 hasConceptScore W3118646005C154945302 @default.
- W3118646005 hasConceptScore W3118646005C41008148 @default.
- W3118646005 hasConceptScore W3118646005C45942800 @default.
- W3118646005 hasConceptScore W3118646005C46686674 @default.
- W3118646005 hasConceptScore W3118646005C50644808 @default.
- W3118646005 hasConceptScore W3118646005C530470458 @default.
- W3118646005 hasConceptScore W3118646005C71924100 @default.
- W3118646005 hasConceptScore W3118646005C95623464 @default.
- W3118646005 hasLocation W31186460051 @default.
- W3118646005 hasOpenAccess W3118646005 @default.
- W3118646005 hasPrimaryLocation W31186460051 @default.
- W3118646005 hasRelatedWork W13034104 @default.
- W3118646005 hasRelatedWork W13338109 @default.
- W3118646005 hasRelatedWork W3630269 @default.
- W3118646005 hasRelatedWork W36490 @default.
- W3118646005 hasRelatedWork W4947539 @default.
- W3118646005 hasRelatedWork W5006466 @default.
- W3118646005 hasRelatedWork W5410279 @default.
- W3118646005 hasRelatedWork W728297 @default.
- W3118646005 hasRelatedWork W7655147 @default.
- W3118646005 hasRelatedWork W9778490 @default.
- W3118646005 isParatext "false" @default.
- W3118646005 isRetracted "false" @default.
- W3118646005 magId "3118646005" @default.
- W3118646005 workType "book-chapter" @default.