PubTree：一个用于MEDLINE数据库的分层检索工具
PubTree: A Hierarchical Search Tool for the MEDLINE Database
摘要：
跟踪不断增加的科学文献是一项不断升级的挑战。我们提出了PubTree的分层搜索工具，有效地搜索PubMed/MEDLINE数据集的基础上构建的决策树使用> 26万摘要。该工具是作为一个网页实现的，在那里用户被问到一系列的18个问题，以找到相关的文章。这种分层搜索工具的实现突出了文档检索特有的问题。然而，这棵树的构建表明，随着未来的发展，分层搜索可能成为一个有效的工具（或辅助）在挖掘生物文献。
英文摘要：
Keeping track of the ever-increasing body of scientific literature is an escalating challenge. We present PubTree a hierarchical search tool that efficiently searches the PubMed/MEDLINE dataset based upon a decision tree constructed using >26 million abstracts. The tool is implemented as a webpage, where users are asked a series of eighteen questions to locate pertinent articles. The implementation of this hierarchical search tool highlights issues endemic with document retrieval. However, the construction of this tree indicates that with future developments hierarchical search could become an effective tool (or adjunct) in the mining of biological literature.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
