Comparison of machine-learning algorithms for the prediction of current procedural terminology (CPT) codes from pathology reports
Background: Pathology reports serve as an auditable trial of a patient's clinical narrative, containing text pertaining to diagnosis, prognosis, and specimen processing. Recent works have utilized natural language processing (NLP) pipelines, which include rule-based or machine-learning analytic...
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Main Authors: | Joshua Levy (Author), Nishitha Vattikonda (Author), Christian Haudenschild (Author), Brock Christensen (Author), Louis Vaickus (Author) |
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Format: | Book |
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Elsevier,
2022-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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