Distinguishing transformative from incremental clinical evidence: A classifier of clinical research using textual features from abstracts and citing sentences

作者：

Highlights：

• It is important to know if a study changes or only supports the current standards of care for specific disease management.

• A machine learning approach is proposed to distinguishing transformative from incremental clinical evidence.

• Transformative research has typical language patterns in citing sentences.

摘要

•It is important to know if a study changes or only supports the current standards of care for specific disease management.•A machine learning approach is proposed to distinguishing transformative from incremental clinical evidence.•Transformative research has typical language patterns in citing sentences.

论文关键词：Clinical study,Knowledge discovery,Natural language processing,Citing sentences analysis,Machine learning

论文评审过程：Received 21 September 2021, Revised 10 December 2021, Accepted 7 February 2022, Available online 14 February 2022, Version of Record 14 February 2022.

论文官网地址：https://doi.org/10.1016/j.joi.2022.101262