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 analytics, to...

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Detalles Bibliográficos
Autores principales: Levy, Joshua, Vattikonda, Nishitha, Haudenschild, Christian, Christensen, Brock, Vaickus, Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802304/
https://www.ncbi.nlm.nih.gov/pubmed/35127232
http://dx.doi.org/10.4103/jpi.jpi_52_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802304/
https://www.ncbi.nlm.nih.gov/pubmed/35127232
http://dx.doi.org/10.4103/jpi.jpi_52_21

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