Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking Engine

PURPOSE: To evaluate the performance of machine learning algorithms on organ-level classification of semistructured pathology reports, to incorporate surgical pathology monitoring into an automated imaging recommendation follow-up engine. MATERIALS AND METHODS: This retrospective study included 2013...

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Sparad:
Bibliografiska uppgifter
I publikationen:Radiol Artif Intell
Huvudupphovsmän: Steinkamp, Jackson M., Chambers, Charles M., Lalevic, Darco, Zafar, Hanna M., Cook, Tessa S.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Radiological Society of North America 2019
Ämnen:
Original Research
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8017395/
https://ncbi.nlm.nih.gov/pubmed/33937800
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180052
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