Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study

The findings suggest that ontology-based medication IE using transformer-based models holds promise for enhancing data standardization and interoperability within the Thai health care system. Future work will need to leverage the granular annotations preserved in the dataset to develop medical concept normalization and relation extraction models to complete the medical IE system.

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Publication Details

Journal
JMIR Formative Research
Published
2026-03-20
DOI
https://doi.org/10.2196/82685
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study

Wachiranun Sirikul, Markus Kreuzthaler, Natthanaphop Isaradech, Stefan Schulz
JMIR Formative Research
Topic Modeling
article

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study

Wachiranun Sirikul, Markus Kreuzthaler, Natthanaphop Isaradech, Stefan Schulz
article en

Abstract

The findings suggest that ontology-based medication IE using transformer-based models holds promise for enhancing data standardization and interoperability within the Thai health care system. Future work will need to leverage the granular annotations preserved in the dataset to develop medical concept normalization and relation extraction models to complete the medical IE system.

JMIR Formative ResearchVol. 10
Medical University of Graz (AT), Chiang Mai University (TH)
Openalex Percentile: Top 17%
Topic Modeling
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