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  • 标题:Artificial immune systems applied to clinical diagnosis of breast cancer samples
  • 本地全文:下载
  • 作者:Simone Silva Frutuoso de Souza ; Fábio Roberto Chavarette ; Fernando Parra dos Anjos Lima
  • 期刊名称:Research, Society and Development
  • 电子版ISSN:2525-3409
  • 出版年度:2022
  • 卷号:11
  • 期号:5
  • 页码:1-14
  • DOI:10.33448/rsd-v11i5.21941
  • 语种:English
  • 出版社:Grupo de Pesquisa Metodologias em Ensino e Aprendizagem em Ciências
  • 摘要:This work employments a manufactured resistant framework connected for diagnosing breast cancer tests. Taking as premise an immunological prepare, the Negative Selection Algorithm was utilized to segregate the tests, achieving a classification for generous or harmful cases. The most application of the strategy is to help experts within the breast cancer demonstrative prepare, in this manner giving decision-making agility, efficient treatment arranging, unwavering quality and the vital mediation to spare lives. To assess this strategy, the Wisconsin Breast Cancer Determination database was utilized. This is often a real breast cancer database. The comes about gotten utilizing the strategy, when compared with the specialized writing, appear precision, strength and proficiency within the breast cancer demonstrative handle.
  • 关键词:Breast cancer diagnosis;Artificial immune systems;Negative selection algorithm.
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