Background: Nephrology research is expanding, and harnessing the much-needed information and data for the practice of evidence-based medicine is becoming more challenging. In this study, we used the n
本数据集为论文《基于跨视图对比学习的AI跨领域知识组合预测研究——以医学信息学为例》的支撑数据，该论文基于学术论文数据，提出一种基于图神经网络的跨视图对比学习模型GCN_Contrast，通过图对比学习和基于注意力机制的特征融合方法将多维特征有效结合，对潜在的跨领域知识组合进行预测。数据主要包括：1）从Web of Science数据库中采集的论文标题、关键词等原始数据；2）原始数据经过预处理所得
Background and methodsSystematic reviews, i.e., research summaries that address focused questions in a structured and reproducible manner, are a cornerstone of evidence-based medicine and research. Ho
