Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error
Abstract Background Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies. The aim is to achieve a high-performing algorithm comparable to human screening that can red...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-01-01
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| Series: | Systematic Reviews |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13643-019-0942-7 |