ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials.
ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials.
复制标题
DOI：
10.1186/1472-6947-12-s1-s3
复制
发表时间：
2012-04-30
影响因子：
3.5
通讯作者：
Ananiadou S
中科院分区：
文献类型：
--
作者：
Korkontzelos I;Mu T;Ananiadou S
临床试验是描述人体医学研究的强制性协议，也是医学实践证据的最有价值来源之一。由于现有协议的数量巨大，搜索与某些查询相关的试验是费力的。除了搜索之外，编写新的试验还包括编写详细的资格标准，这可能很耗时，特别是对新的研究人员来说。在本文中，我们提出ASCOT，一个有效的搜索应用程序定制的临床试验。ASCOT使用文本挖掘和数据挖掘方法用元数据丰富临床试验，这反过来又作为缩小搜索范围的有效工具。此外，ASCOT集成了一个组件，用于根据一组选定的协议推荐资格标准。
Clinical trials are mandatory protocols describing medical research on humans and among the most valuable sources of medical practice evidence. Searching for trials relevant to some query is laborious due to the immense number of existing protocols. Apart from search, writing new trials includes composing detailed eligibility criteria, which might be time-consuming, especially for new researchers. In this paper we present ASCOT, an efficient search application customised for clinical trials. ASCOT uses text mining and data mining methods to enrich clinical trials with metadata, that in turn serve as effective tools to narrow down search. In addition, ASCOT integrates a component for recommending eligibility criteria based on a set of selected protocols.