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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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Detalhes bibliográficos
Publicado no:J Digit Imaging
Main Authors: Lou, Robert, Lalevic, Darco, Chambers, Charles, Zafar, Hanna M., Cook, Tessa S.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7064732/
https://ncbi.nlm.nih.gov/pubmed/31482317
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00271-7
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