Conference paper Open Access
Norman, Christopher;
Leeflang, Mariska;
Névéol, Aurélie
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.2574710", "title": "Data Extraction and Synthesis in Systematic Reviews of Diagnostic Test Accuracy: A Corpus for Automating and Evaluating the Process", "issued": { "date-parts": [ [ 2018, 11, 5 ] ] }, "abstract": "<p>Background: Systematic reviews are critical for obtaining accurate estimates of diagnostic test accuracy, yet these require extracting information buried in free text articles, which is often laborious. Objective: We create a dataset describing the data extraction and synthesis processes in 63 DTA systematic reviews, and demonstrate its utility by using it to replicate the data synthesis in the original reviews. Method: We construct our dataset using a custom automated extraction pipeline complemented with manual extraction, verification, and post-editing. We evaluate using manual assessment by two annotators and by comparing against data extracted from source files. Results: The constructed dataset contains 5,848 test results for 1,354 diagnostic tests from 1,738 diagnostic studies. We observe an extraction error rate of 0.06–0.3%. Conclusions: This constitutes the first dataset describing the later stages of the DTA systematic review process, and is intended to be useful for automating or evaluating the process.</p>", "author": [ { "family": "Norman, Christopher" }, { "family": "Leeflang, Mariska" }, { "family": "N\u00e9v\u00e9ol, Aur\u00e9lie" } ], "id": "2574710", "event-place": "San Fransisco", "type": "paper-conference", "event": "Proceedings of the AMIA Annual Symposium (Proc AMIA Annu Symp)" }
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