Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

This study highlights the essential role of NER models in medical informatics, emphasizing the imperative for model optimization via precise data targeting and fine-tuning. The insights from this study will notably improve clinical decision-making and facilitate the creation of more sophisticated and effective medical NER models.

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Publication Details

Journal
JMIR Medical Informatics
Published
2024-09-15
DOI
https://doi.org/10.2196/59782
Citations
11
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
3.82
Controls
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article

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

Xiaolei Xiu, Shengyu Liu, Ming Zhong, Sizhu Wu et al.
11 citations
JMIR Medical Informatics
Topic Modeling
3.82
article

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

Xiaolei Xiu, Shengyu Liu, Ming Zhong, Sizhu Wu, Anran Wang
article en
11 citations

Abstract

This study highlights the essential role of NER models in medical informatics, emphasizing the imperative for model optimization via precise data targeting and fine-tuning. The insights from this study will notably improve clinical decision-making and facilitate the creation of more sophisticated and effective medical NER models.

JMIR Medical InformaticsVol. 12
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Openalex Percentile: Top 6%
Topic Modeling
3.82
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