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Cervical Cancer Diagnosis Using an Integrated System of Principal Component Analysis, Genetic Algorithm, and Multilayer Perceptron.

Publicado en:Healthcare (2227-9032) Vol. 10; no. 10
Autores principales: Dweekat, Odai Y., Lam, Sarah S.
Formato: algorithm equations & formulas tables/charts Journal Article
Publicado: MDPI Oct2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2022
      vid: 10
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      pub: MDPI
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        atl: Cervical Cancer Diagnosis Using an Integrated System of Principal Component Analysis, Genetic Algorithm, and Multilayer Perceptron.
      aug:
        au:
          Dweekat, Odai Y.
          Lam, Sarah S.
        affil: Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY 13902, USA
      sug:
        subj:
          Cervix Neoplasms Diagnosis
          Genetic Algorithms
          Factor Analysis
          Multilayer Perceptrons
          Machine Learning
          Early Detection of Cancer
          Clinical Assessment Tools
          Prediction Models
          Cervix Neoplasms Risk Factors
          Risk Assessment
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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