Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records

Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records

Abstract Background Data mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver precision medicine. Unfortunately, the rule-based and machine learning-based approaches used for natural language processing (NLP) in health...

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Bibliographic Details
Main Authors: Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Natural language processing
Electronic health records
Machine learning
Supervised
Unsupervised
Rule-based
Online Access:https://doi.org/10.1186/s12911-023-02271-8

Internet

https://doi.org/10.1186/s12911-023-02271-8

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