Automatic text classification to support systematic reviews in medicine

作者：

Highlights：

• Systematic reviews support evidence-based medicine, but are expensive to produce.

• Text classification can support the screening phase of Systematic Reviews.

• Determining the best classification parameters is key for good results.

• Selecting certain sections of the articles can make significant difference.

• Positive results support this technology as a tool for systematic reviews.

摘要

•Systematic reviews support evidence-based medicine, but are expensive to produce.•Text classification can support the screening phase of Systematic Reviews.•Determining the best classification parameters is key for good results.•Selecting certain sections of the articles can make significant difference.•Positive results support this technology as a tool for systematic reviews.

论文关键词：Medical systematic reviews,Machine learning,Text mining,Text classification

论文评审过程：Available online 5 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.047