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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedChen W, Wheeler KK, Lin S
Computerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative data.
This study evaluated a "Learn-As-You-Go" machine-learning program. When using this program, the user trains classification models and interactively checks on accuracy until a desired threshold is reached. It found that the time frame to classify tens of thousands of narratives was reduced from a few days to minutes after approximately sixty minutes of training.
AHRQ-funded; HS022277.
Citation: Chen W, Wheeler KK, Lin S .
Computerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative data.
Accid Anal Prev 2016 Apr;89:111-7. doi: 10.1016/j.aap.2016.01.012.
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Keywords: Brain Injury, Health Information Technology (HIT)