Cancer data classification using binary bat optimization and extreme learning machine with a novel fitness function.
Cancer classification is one of the crucial tasks in medical field. The gene expression of cells helps in identifying the cancer. The high dimensionality of gene expression data hinders the classification performance of any machine learning models. Therefore, we propose, in this paper a methodology...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 12; pp. 2673 - 2683 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2019
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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=140034785&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 140034785 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2019 vid: 57 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 140034785 140034785 NLM31713709 10.1007/s11517-019-02043-5 NLM31713709 140034785 ppf: 2673 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Cancer data classification using binary bat optimization and extreme learning machine with a novel fitness function. aug: au: Chatra, Kaveri Kuppili, Venkatanareshbabu Edla, Damodar Reddy Verma, Ajeet Kumar affil: Department of Computer Science and EngineeringNational Institute of Technology Goa, Ponda, India sug: subj: Neoplasms Gene Expression Algorithms ab: Cancer classification is one of the crucial tasks in medical field. The gene expression of cells helps in identifying the cancer. The high dimensionality of gene expression data hinders the classification performance of any machine learning models. Therefore, we propose, in this paper a methodology to classify cancer using gene expression data. We employ a bio-inspired algorithm called binary bat algorithm for feature selection and extreme learning machine for classification purpose. We also propose a novel fitness function for optimizing the feature selection process by binary bat algorithm. Our proposed methodology has been compared with original fitness function that has been found in the literature. The experiments conducted show that the former outperforms the latter. Graphical Abstract Classification using Binary Bat Optimization and Extreme Learning Machine. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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