评估维基百科作为疾病理解的信息来源
Evaluating Wikipedia as a source of information for disease understanding
摘要：
生物数据的日益可用性正在提高我们对疾病的理解，并为它们的潜在关系提供新的见解。随着文本挖掘技术和计算能力的不断提高，将生物数据与医学出版物中的语义信息相结合是一条很有前途的途径，但由于这些数据的可访问性和缺乏结构性，这一方法面临着挑战。在本文中，我们建议使用维基百科-免费的在线百科全书-作为疾病理解研究的可访问文本信息的来源。为了检查它的有效性，我们比较了它的性能，在确定疾病之间的关系与PubMed的，最咨询的数据来源之一的医学文本。所获得的结果表明，从维基百科中提取的信息是相关的，从PubMed摘要（即其文章的免费访问部分），虽然提出了进一步的研究，以验证其可靠性的医学研究。
英文摘要：
The increasing availability of biological data is improving our understanding of diseases and providing new insight into their underlying relationships. Thanks to the improvements on both text mining techniques and computational capacity, the combination of biological data with semantic information obtained from medical publications has proven to be a very promising path. However, the limitations in the access to these data and their lack of structure pose challenges to this approach. In this document we propose the use of Wikipedia - the free online encyclopedia - as a source of accessible textual information for disease understanding research. To check its validity, we compare its performance in the determination of relationships between diseases with that of PubMed, one of the most consulted data sources of medical texts. The obtained results suggest that the information extracted from Wikipedia is as relevant as that obtained from PubMed abstracts (i.e. the free access portion of its articles), although further research is proposed to verify its reliability for medical studies.
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。
