索引于
  • 打开 J 门
  • Genamics 期刊搜索
  • 引用因子
  • 宇宙IF
  • 西马戈
  • 乌尔里希的期刊目录
  • 电子期刊图书馆
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • 期刊摘要索引目录
  • OCLC-WorldCat
  • 普罗奎斯特传票
  • 学者指导
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • 谷歌学术
分享此页面
期刊传单
Flyer image

抽象的

Scientific Data Analysis Using Neural Networks as Exemplified in Defining the Factors Impacting the C-reactive Protein Level

Alexander A. Zakharov, Evgeni A. Olennikov, Tatyana I. Payusova, Tatyana I. Petelina, Natalia A. Musikhina and Ludmila I. Gapon

The article describes the approaches, involving the usage of medical information systems as a tool for clinical and biological studies. The example describes the technology and technique to automate the medical and clinical studies, conducted to define the factors, impacting the level of inflammatory response marker—C-reactive protein level for the patients with ischemic heart disease. The toolset includes the artificial neural network to analyze the overall situation based on the analysis of various parameters and their interdependencies. Technology and technique are implemented as software module of medical information system of the branch of Institute of Cardiology “Tyumen Cardiology Center”.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证