在肺高血压中应用的人工智能:一本书法分析分析
Germaine Tchuente Foguem1, Aurelien Teguede Keleko2
1Faculté des Sciences, Université de Yaoundé I, PO Box 812, Yaoundé, Cameroon.
概括
本研究审查了人工智能 (AI) 在肺高血压 (PH) 研究中的应用. 它突出了人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 心血管研究研究心血管研究
背景情况:
- 肺高血压 (PH) 是一种影响肺和心脏的复杂疾病,需要早期检测以获得更好的患者结果.
- 人工智能 (AI) 在管理像PH这样的复杂疾病方面提供了重大机会.
- 医疗信息学研究对于通过IT解决方案推进疾病管理至关重要.
研究的目的:
- 系统地审查和定量分析关于人工智能在肺高血压 (PH) 应用的科学生产.
- 绘制研究格局,并确定人工智能驱动的PH研究的关键趋势.
- 提供关于人工智能建模用于PH诊断,治疗和预后的科学问题和挑战的见解.
主要方法:
- 从科学网站和谷歌学者科学出版物的图书统计分析.
- 研究成果的定量分析,引用影响和网络分析.
- 数据挖掘和数据可视化技术用于评估研究绩效和趋势.
主要成果:
- 主要期刊包括IEEE Access,计算机在生物学和医学,以及心血管医学的边界.
- 领先的研究机构主要来自美国和英国.
- 经常引用的关键词包括分类,诊断,疾病,预测和风险.
结论:
- 这项文献计量研究作为研究人员和从业人员在PH的AI领域的指南.
- 它提高了人工智能驱动的PH研究进展和局限性的可见性.
- 该研究有助于理解AI在PH管理中的演变,强调道德数据处理.
关键词:
人工智能的人工智能是人工智能.图书统计学 图书统计学深度学习是一种深度学习.伦理学 伦理学 伦理学这就是为什么GDPR是GDPR.机器学习是机器学习.医疗信息学医学信息学肺高血压是一种肺高血压.更多相关视频
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