Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing

Allergic reactions to medication range from mild to severe or even life-threatening. Proper documentation of patient allergy information is critical for safe prescription, avoiding drug interactions, and reducing healthcare costs. Allergy information is regularly obtained during the medical intervie...

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Bibliographic Details
Published in:	PloS one Vol. 17; no. 8; p. e0270595
Main Authors:	Chaichulee, Sitthichok, Promchai, Chissanupong, Kaewkomon, Tanyamai, Kongkamol, Chanon, Ingviya, Thammasin, Sangsupawanich, Pasuree
Format:	Journal Article
Language:	English
Published:	San Francisco Public Library of Science 04.08.2022 Public Library of Science (PLoS)
Subjects:	Algorithms Allergic reactions Allergies Analysis Artificial intelligence Automation Bayesian analysis Biology and Life Sciences Classification Coders Computational linguistics Computer and Information Sciences Datasets Decision support systems Electronic health records Electronic medical records Erythema Evaluation Health care Hypersensitivity Identification and classification Language Language processing Medicine and Health Sciences Modelling Natural language interfaces Natural language processing Patient safety People and Places Pharmacists Physical Sciences Prescription writing Research and Analysis Methods Skin Social Sciences Support vector machines Symptomatology Text categorization Thailand
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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