Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development
Abstract BackgroundDiabetes affects millions worldwide. Primary care physicians provide a significant portion of care, and they often struggle with selecting appropriate medications. ObjectiveThis study aimed to develop a model that accurately predicts what drug an...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-06-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2025/1/e67748 |
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