人工智能和机器学习在脏护理中的趋势
Yuh-Shan Ho1, Tibor Fülöp2, Pajaree Krisanapan3
1Trend Research Centre, Asia University, Wufeng, Taichung, Taiwan.
The American journal of the medical sciences
|January 28, 2024
概括
人工智能 (AI) 和机器学习 (ML) 在护理研究中越来越重要. 研究表明,在科人工智能和机器学习方面的国际合作显著提高了引用的影响.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 在脏护理中的应用正在迅速扩大.
- 近年来,在AI/ML和病学的交叉点上,研究出版物激增.
- 了解出版趋势和主要贡献者对于推进脏护理至关重要.
研究的目的:
- 为了确定领先的作者,机构和国家在人工智能和机器学习研究护理.
- 分析与科相关的AI和ML的出版趋势和模式.
- 调查协作研究对引用指标的影响.
主要方法:
- 在Web of Science核心集合 (SCI-EXPANDED) 中进行了全面的搜索,寻找从1992年到2021年在科领域的AI和ML出版物.
- 与脏护理中的AI和机器学习相关的关键词使用布尔运算符和特定过器进行了搜索.
- 总共有5425份相关文件被检索和分析.
主要成果:
- 文章占出版物的75%,平均每篇论文有7.4名作者.
- 在各种指标上,美国在出版量方面处于领先地位,其次是中国.
- 合作研究的努力显示出更高的引用影响,许多研究发表在泌尿病学期刊上.
结论:
- 人工智能和机器学习对促进脏护理至关重要,为未来的研究和临床应用提供了巨大的潜力.
- 这些发现突显了跨学科合作在这个领域日益重要的重要性.
- 这项研究提供了关于人工智能和ML在科研究中的宝贵见解.
关键词:
人工智能的人工智能是人工智能.图书统计系统 (Bibliometric) 是一个图书统计系统.引文分析 引文分析护理脏 护理脏机器学习是机器学习.腎臟病學 (nephrology) 是一種醫學專業.出版趋势 出版趋势在SCI扩展的情况下.更多相关视频
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