A distantly supervised dataset for automated data extraction from diagnostic studies

WS 2019 Christopher NormanMariska LeeflangRen{\'e} SpijkerEvangelos KanoulasAur{\'e}lie N{\'e}v{\'e}ol

Systematic reviews are important in evidence based medicine, but are expensive to produce. Automating or semi-automating the data extraction of index test, target condition, and reference standard from articles has the potential to decrease the cost of conducting systematic reviews of diagnostic test accuracy, but relevant training data is not available... (read more)

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