Hersh William
Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, BICC, Portland, 97239, USA.
Brief Bioinform. 2005 Dec;6(4):344-56. doi: 10.1093/bib/6.4.344.
Biomedical text-mining systems have great promise for improving the efficiency and productivity of biomedical researchers. However, such systems are still not in routine use. One impediment to their development is the lack of systematic and rigorous evaluation, comparable to the approaches developed for information retrieval systems. The developers of text-mining systems need to improve both test collections for system-oriented evaluation and undertake user-oriented evaluations to determine the most effective use of their systems for their intended audience.
生物医学文本挖掘系统在提高生物医学研究人员的效率和生产力方面具有巨大潜力。然而，此类系统仍未得到常规应用。其发展的一个障碍是缺乏与信息检索系统所采用方法相当的系统而严格的评估。文本挖掘系统的开发者需要改进面向系统评估的测试集，并进行面向用户的评估，以确定如何使其系统针对目标受众发挥最有效的作用。
