An accessible, efficient, and accurate natural language processing method for extracting diagnostic data from pathology reports

An accessible, efficient, and accurate natural language processing method for extracting diagnostic data from pathology reports

Context: Analysis of diagnostic information in pathology reports for the purposes of clinical or translational research and quality assessment/control often requires manual data extraction, which can be laborious, time-consuming, and subject to mistakes. Objective: We sought to develop, employ, and...

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Bibliographic Details
Main Authors: Hansen Lam, Freddy Nguyen, Xintong Wang, Aryeh Stock, Volha Lenskaya, Maryam Kooshesh, Peizi Li, Mohammad Qazi, Shenyu Wang, Mitra Dehghan, Xia Qian, Qiusheng Si, Alexandros D. Polydorides
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
Unstructured
Free-text
Narrative
Extraction
XML
Carcinoma
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922007489

Internet

http://www.sciencedirect.com/science/article/pii/S2153353922007489

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