基于 citespace 的帕金森病诊断知识图谱分析
Journal: Basic Medical Theory Research DOI: 10.32629/bmtr.v8i1.18602
Abstract
目的：探究帕金森病研究领域的发展趋势及研究热点,为今后PD的研究提供参考。方法：检索中国学术期刊全文数据库(CNKI)、万方数据库(Wanfang)、Web of Science数据库2005年1月至2025年10月期间收录的“帕金森病”、“疾病诊断”相关中英文文献。应用citespace软件,对关键词、作者、研究机构进行可视化分析。结果：共纳入中文文献2652篇、英文文献4809篇,发文量波动增长。国内形成核心作者集合体,国外形成明显核心作者群。国内侧重多模态诊断等,国际关注生物标志物等。结论：早期诊断技术研究是当今研究热点。多模态融合诊断和新兴生物标志物是该领域未来研究趋势。
Keywords
帕金森病；诊断技术；可视化分析
Funding
2025年湖北医药学院大学生创新创业训练计划,《肠道菌群介导左旋多巴生物转化的多组学研究与帕金森病精准治疗新靶点探索》(202510929008)。
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[6] EA L.The progression of Parkinson disease:a hypothesis [J].Neurology,2007,68(12):948-52.
[7] George I Z,Michele E ,Olive Y,et al.Optimized, automat ed striatal uptake analysis applied to SPECT brain scans of Parkinson's disease patients.[J].Journal of nuclear medicine: official publication, Society of Nuclear Medicine,2007,48(6): 857-64.
[8] M L C,B M S.Parkinson's Disease Biomarkers: Where Are We and Where Do We Go Next?[J].Movement disorders clinical pract ice,2017,4(6):796-805.
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[15] Chang Y,Liu J,Sun S,et al.Deep learning for Parkinson's disease classification using multimodal and multi-sequences PET/MR images[J].EJNMMI research,2025,15(1):55.
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