Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

While radiologists regularly issue follow-up recommendations, our preliminary research has shown that anywhere from 35 to 50% of patients who receive follow-up recommendations for findings of possible cancer on abdominopelvic imaging do not return for follow-up. As such, they remain at risk for adve...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 33; no. 1; pp. 131 - 137
Main Authors:	Lou, Robert, Lalevic, Darco, Chambers, Charles, Zafar, Hanna M., Cook, Tessa S.
Format:	research tables/charts Journal Article
Published:	Springer Nature Feb2020
Online Access:	View this record in EBSCOhost