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Abstrackr open-source, web-based software for (semi-automated?!) abstract-screening This project is currently supported by funding from AHRQ, grant number.

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Presentation on theme: "Abstrackr open-source, web-based software for (semi-automated?!) abstract-screening This project is currently supported by funding from AHRQ, grant number."— Presentation transcript:

1 abstrackr open-source, web-based software for (semi-automated?!) abstract-screening This project is currently supported by funding from AHRQ, grant number R01HS018494

2 Abstract screening an unpleasant necessity

3 abstrackr makes life easier! 1 upload citations PMIDs, RefMan XML, RIS, tab-delimited files 2 invite collaborators 3 screen abstrackr handles allocation and prioritizes screening citations likely to be relevant 4 export screening decisions

4 But wait, there’s more! single- or double-screening all labels are exported; you can see who screened which abstracts resolve conflicts (if screeners disagree) see how many unscreened abstracts are likely to be relevant add notes about studies and/or tags to them

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6 words of interest make screening decision tags

7 unstructured and structured (PICO) note-taking

8 A few words on semi-automating screening via machine learning

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10 Semi-Automating Abstract Screening via Supervised Machine Learning abstracts from PubMed search doctor conducting review manually screened abstracts SVM

11 Results (Updating Reviews) We can achieve 100% recall while substantially reducing workload

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13 And now a brief demo [1] – [1] the url will change to Brown soon, but we’ll re-direct


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