在糖尿病的背景下分析和绘制机器学习的分析和映射
Arezoo Ghamgosar1, Leila Nemati-Anaraki2, Maryam Zarghani3
1Medical Biotechnology Research Center, School of Paramedical Guilan University of Medical Sciences Rasht Iran.
机器学习 (ML) 正在改变糖尿病护理. 这种图书统计分析绘制了糖尿病的ML研究,确定了关键趋势,像美国这样的活跃国家,以及多产的作者来指导未来的研究和政策.
科学领域:
- 图书统计学 图书统计学
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 机器学习 (ML) 正在越来越多地影响医疗保健,特别是糖尿病管理.
- 用文献计量方法分析和绘制糖尿病领域的ML研究格局.
研究的目的:
- 在糖尿病研究中提供ML应用的全面概述.
- 识别关键趋势,有影响力的国家,多产的作者和新兴研究领域.
主要方法:
- 来自Web of Science核心集合 (WoSCC) 数据库的出版物的图书统计分析.
- 数据检索时间从2010年1月1日到2023年12月31日.
- 使用VOSviewer和Microsoft Excel 2013进行可视化和分析.
主要成果:
- 总共有5,222个相关出版物被确定,显示了14年来的稳定增长.
- 美国成为ML和糖尿病研究中最活跃的国家,其次是中国和印度.
- 关键的研究领域包括机器学习,预测模型,糖尿病视网膜病变,深度学习和诊断.
结论:
- 这项研究为糖尿病ML领域的研究人员,政策制定者和临床医生提供了宝贵的科学资源.
- 这些发现可以为决策过程提供信息,并指导未来的研究资金和战略规划.
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