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
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.
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.
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