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在自闭症谱系障碍中对人工智能研究热点和趋势进行系统的图书统计和可视化分析
Qianfang Jia1, Xiaofang Wang1, Rongyi Zhou2,3
1Hebei University of Chinese Medicine, Shijiazhuang, China.
Frontiers in neuroinformatics
|December 21, 2023
概括
人工智能 (AI) 越来越多地用于自闭症谱系障碍 (ASD) 研究,重点是分类和诊断. 未来的研究方向包括婴儿,特征选择和体分析,以改善识别.
科学领域:
- 图书计量和人工智能 图书计量和人工智能
- 医学信息学和自闭症谱系障碍研究
背景情况:
- 人工智能 (AI) 在自闭症谱系障碍 (ASD) 识别,诊断和干预方面显示出潜力.
- 关于在ASD研究中采用人工智能的有限的文献计量研究存在.
研究的目的:
- 探索AI在ASD中的广泛应用.
- 确定ASD人工智能的研究前沿和趋势.
主要方法:
- 从科学网络核心收藏中对776篇出版物的图书法分析.
- 使用CiteSpace和VOSviewer进行数据分析.
主要成果:
- 美国和中国在出版物方面处于领先地位;英格兰的影响力最高.
- 斯坦福大学的H指数最高;机器学习是关键的共同引用参考.
- 关键词包括自闭症谱系障碍,儿童,分类和诊断;新兴的术语是婴儿,特征选择和体.
结论:
- 在ASD研究中的AI主要由分类和诊断主导.
- 新兴的研究领域,如婴儿,特征选择和体提供未来的方向.
- 需要进一步的研究才能充分利用人工智能来识别自闭症.
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