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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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机器学习和深度学习技术应用于糖尿病研究:一个图书识别分析.

Maira García-Jaramillo1, Carolina Luque1, Fabian León-Vargas2

  • 1Faculty of Engineering, Universidad EAN, Bogotá, Colombia.

Journal of diabetes science and technology
|December 4, 2023
PubMed
概括

机器学习和糖尿病研究的深度学习显示出快速增长,检测是最受研究的领域. 这个领域正在迅速发展,预计在未来几年将继续扩张.

关键词:
算法算法是一种算法.人工智能的人工智能是人工智能.文献计量分析的分析深度学习是一种深度学习.糖尿病 糖尿病患者 糖尿病患者机器学习是机器学习.

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科学领域:

  • 糖尿病研究研究 糖尿病研究
  • 人工智能在医学中的应用
  • 图书统计学 图书统计学

背景情况:

  • 机器学习 (ML) 和深度学习 (DL) 越来越多地被用于糖尿病研究.
  • 缺乏对这一领域的知识生成格局的全面概述.
  • 图书计量分析可以揭示全球研究趋势和关键参与者.

研究的目的:

  • 对2000-2022年糖尿病研究中关于ML/DL的科学文章进行文献计量分析.
  • 确定全球研究趋势,网络和突出的贡献者.
  • 突出关键主题,国家,机构和该领域的期刊.

主要方法:

  • 使用Scopus数据库进行文章检索.
  • 文章分为检测,预测和管理.
  • 图书馆和RStudio被用于数据分析.

主要成果:

  • 分析了1773篇文章,自2012年以来,出版和引用的数量显著增加.
  • 检测成为主要的研究类别,其次是预测和管理.
  • 中国,印度和美国是最富有生产力的国家;加利福尼亚大学是最有影响力的机构.

结论:

  • 糖尿病研究中的ML/DL领域正在迅速发展,呈指数增长.
  • 近年来,生产率急剧上升,预计将继续上升.
  • 检测,预测和管理是重点关注的关键领域.