RESEARCH USE
Where SWIFT-Active Screener fits
Import bibliographic records, define screening questions, and have reviewers make inclusion or exclusion decisions. The application updates an active-learning model from those decisions to reprioritize unscreened records while tracking conflicts and progress. Preserve the source records, protocol, human decisions, stopping rule, and complete export.
Research tasks
- Screen titles and abstracts collaboratively
- Reprioritize unscreened records with active learning
- Track conflicts, progress, and estimated remaining relevant records
What to evaluate before use
- Priority scores and remaining-relevant estimates are model outputs. They should not automatically exclude unscreened records without a prespecified and validated stopping procedure.
- Performance depends on the topic and consistency of human labels, and early errors can affect later ranking. Pricing is available only by contacting the vendor.
Verification note
This entry summarizes the resource's role without assessing scientific accuracy or endorsing its outputs. Features and terms can change; consult the official source before adopting it for consequential work.
literature screeningactive learning
Last verified: 2026-09-13
Source: official documentation ↗