Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning
Background As part of our ongoing systematic review of complex interventions for the primary prevention of cardiovascular diseases, we have developed and evaluated automated machine-learning classifiers for title and abstract screening. The aim was to develop a high-performing algorithm comparable t...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
NIHR Journals Library
2022-11-01
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| Series: | Health Technology Assessment |
| Subjects: | |
| Online Access: | https://doi.org/10.3310/UDIR6682 |
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