Improving reference prioritisation with PICO recognition
2019
Background
Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which include the PICO elements of patient/population, intervention, comparator, and outcomes. The latter requires techniques for identifying and categorising fragments of text, known as named entity recognition.
Keywords:
- Population
- Natural language processing
- Medicine
- Named-entity recognition
- Study Characteristics
- Knowledge management
- Systematic review
- Text mining
- Logistic regression
- Evidence-based medicine
- Artificial intelligence
- Active learning
- Semantic search
- Annotation
- Data mining
- Performance metric
- Information retrieval
- Data extraction
- Recurrent neural network
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
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References
10
Citations
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KQI