Automated Generation of Synoptic Reports from Narrative Pathology Reports in University Malaya Medical Centre Using Natural Language Processing

Automated Generation of Synoptic Reports from Narrative Pathology Reports in University Malaya Medical Centre Using Natural Language Processing

Pathology reports represent a primary source of information for cancer registries. University Malaya Medical Centre (UMMC) is a tertiary hospital responsible for training pathologists; thus narrative reporting becomes important. However, the unstructured free-text reports made the information extrac...

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Bibliographic Details
Main Authors: Wee-Ming Tan, Kean-Hooi Teoh, Mogana Darshini Ganggayah, Nur Aishah Taib, Hana Salwani Zaini, Sarinder Kaur Dhillon
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
pathology reporting
synoptic reporting
information extraction
text mining
natural language processing
rule based
Online Access:https://www.mdpi.com/2075-4418/12/4/879

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