Extracting cancer concepts from clinical notes using natural language processing: a systematic review

Extracting cancer concepts from clinical notes using natural language processing: a systematic review

Abstract Background Extracting information from free texts using natural language processing (NLP) can save time and reduce the hassle of manually extracting large quantities of data from incredibly complex clinical notes of cancer patients. This study aimed to systematically review studies that use...

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Bibliographic Details
Main Authors: Maryam Gholipour, Reza Khajouei, Parastoo Amiri, Sadrieh Hajesmaeel Gohari, Leila Ahmadian
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Bioinformatics
Subjects:
Neoplasms
Natural language processing
NLP
Machine learning
Terminology
Information system
Online Access:https://doi.org/10.1186/s12859-023-05480-0

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