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绘制研究趋势和协作网络在通过可视化对医疗保健群体智能进行映射
Reji Kollinal1, Jeena Joseph2, Sneha M Kuriakose3
1Department of Computer Applications, BPC College, Piravom, IND.
Cureus
|September 23, 2024
概括
受社会昆虫的启发,蜂群智能正在通过处理复杂数据和增强诊断来彻底改变医疗保健. 这种人工智能方法正在优化治疗和个性化患者护理,显示出显著的研究增长.
科学领域:
- 人工智能的人工智能
- 计算生物学 计算生物学
- 医疗信息学 医疗信息学
背景情况:
- 来自社会昆虫行为的群体智能,为复杂,动态的问题提供先进的AI解决方案.
- 医疗保健行业面临着不断升级的数据复杂性和对优化诊断和个性化治疗的需求.
研究的目的:
- 想象和分析群体智能在医疗保健中的应用.
- 确定这一领域的关键研究趋势,有影响力的贡献者和协作网络.
- 评估群集智能在改善医疗数据管理,诊断和患者护理方面的潜力.
主要方法:
- 使用Biblioshiny和VOSviewer对Scopus文献 (2003-2024) 的图书统计分析.
- 识别出版趋势,中心主题,多产作者和关键期刊.
- 协作网络和地理贡献的映射.
主要成果:
- 自2017年以来,医疗保健领域的群体智能研究显著增加.
- 核心主题包括疾病诊断,治疗优化,医学图像分析和通过医疗物联网 (IoMT) 和群体学习实时监测患者.
- 中国和印度被确定为主要贡献者,突出了日益增长的国际研究重点.
- 确定塑造该领域的关键作者,期刊和合作网络.
结论:
- 群体智能是一个快速增长的多学科领域,在医疗保健领域具有巨大的潜力.
- 它的应用有望提高医学诊断,治疗策略和个性化患者护理.
- 持续的协作研究对于实现蜂群智能在医学上的全部影响至关重要.
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