Enhanced Monarchy Butterfly Optimization Technique for effective breast cancer diagnosis.
Breast cancer is the biggest curse for the women society in the world since the survival factor of the infected patients is ensured only when it is detected at the early localized stage. The majority of the intelligent schemes proposed for detecting the breast cancer relies on the human skill that h...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 7 |
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| Autores principales: | , , |
| Formato: | equations & formulas review tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137182953&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137182953 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Jul2019 vid: 43 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137182953 137182953 137182953 10.1007/s10916-019-1348-8 137182953 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Enhanced Monarchy Butterfly Optimization Technique for effective breast cancer diagnosis. aug: au: Punitha, S. Amuthan, A. Joseph, K. Suresh affil: Department of Computer Science, Pondicherry University, Pondicherry, India sug: subj: Breast Neoplasms Diagnosis Diagnosis, Computer Assisted Artificial Intelligence Algorithms Neural Networks (Computer) Sensitivity and Specificity ab: Breast cancer is the biggest curse for the women society in the world since the survival factor of the infected patients is ensured only when it is detected at the early localized stage. The majority of the intelligent schemes proposed for detecting the breast cancer relies on the human skill that helps in trustworthy determination of essential pattern that confirms the existence of the infected cancer cells for deciding upon the course of treatment. Further, most of the research works contributed in the literature for detecting breast cancer necessitates huge time and laborinvolved that increases the time of diagnosis. This Intelligent Artificial Bee Colony and Enhanced Monarchy Butterfly Optimization Technique (IABC-EMBOT) is proposed for effective breast cancer diagnosis. The core idea behind the formulation of IABC-EMBOT relies on two significant ameliorations that, i) focuses on the modification of Monarchy Butterfly Optimization that enhances the exploration degree based on the rate of exploitation of the searching space and ii) concentrates on the elimination in the limitations of the ABC scheme by enhancing the possibility of search diversification process through phenomenal update facilitated through the dynamic and adaptive butterfly operator that improves the search globally. The proposed IABC-EMBOT scheme investigated using the Wisconsin data set is proven to facilitate an improved average classification accuracy of 97.53%. pubtype: Academic Journal doctype: equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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