A practical approach towards causality mining in clinical text using active transfer learning

Journal of Biomedical Informatics(2021)

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摘要
•Causality mining in clinical text is a difficult and time consuming task.•Traditional ML models are not able to provide acceptable performance.•BERT pre-trained models are good; however, multi-models are even better.•Expert feedback maximizes the effectiveness of the causality detection system.•We provide an End-to-end solution with code, experiments and details
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关键词
Causality mining,Active transfer learning,Clinical text mining,Machine learning
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