Abstract
Malnutrition is a severe health problem that is prevalent in older people residing in residential aged care facilities. Recent advancements in machine learning have made it possible to extract key insight from electronic health records. To date, few researchers applied these techniques to classify nursing notes automatically. Therefore, we propose a model based on ClinicalBioBert to identify malnutrition notes. We evaluated our approach with two mainstream approaches. Our approach had the highest F1-score of 0.90.
| Original language | English |
|---|---|
| Pages (from-to) | 1452-1453 |
| Number of pages | 2 |
| Journal | Studies in Health Technology and Informatics |
| Volume | 310 |
| DOIs | |
| Publication status | Published - 25 Jan 2024 |
Bibliographical note
Publisher Copyright:© 2024 International Medical Informatics Association (IMIA) and IOS Press.
Open Access - Access Right Statement
© 2024 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/).UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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