Semi-automated screening of biomedical citations for systematic reviews |
| |
| Authors: | Byron C Wallace Thomas A Trikalinos Joseph Lau Carla Brodley Christopher H Schmid |
| |
| Institution: | (1) Department of Computer Science, Tufts University, Medford, MA, USA;(2) Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA;(3) Biostatistics Research Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA |
| |
| Abstract: | Background Systematic reviews address a specific clinical question by unbiasedly assessing and analyzing the pertinent literature. Citation
screening is a time-consuming and critical step in systematic reviews. Typically, reviewers must evaluate thousands of citations
to identify articles eligible for a given review. We explore the application of machine learning techniques to semi-automate
citation screening, thereby reducing the reviewers' workload. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
