文献计量学视角下的卵巢癌预测模型研究：基于公共数据库的分析
Journal: Frontier Forum of Clinical Medicine DOI: 10.32629/ffcr.v4i2.19985
Abstract
卵巢癌早期诊断难、疗效也不理想,是导致女性死亡的主要恶性肿瘤之一。基于公共数据库建立临床预测模型,能把多组学数据和临床信息整合起来,给卵巢癌精准诊疗开了一条新路。本研究用PubMed数据库2006到2026年收录的431篇文献,应用文献计量学方法梳理了这个领域的现状和发展脉络。结果显示：这个领域产出增长快,中美是核心贡献国,已建起多中心、跨学科的国际合作网；热点在预后评估、标志物筛选和基因调控这一块,机器学习应用正成为新增长点；整体研究正从基础机制探索往临床转化和智能决策支持转化。以后得强化多组学整合、优化算法、深化合作,推动成果落地。本研究给学者提供了全景图,对资源配置和协同创新也有参考价值。
Keywords
卵巢癌；临床预测模型；公共数据库；文献计量学；机器学习
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