Machine Learning for Early Non-invasive Diabetes Detection Using Electronic Health Records
Early detection of Type 2 Diabetes Mellitus (T2DM) is critical to preventing long-term complications such as cardiovascular disease, nephropathy, and retinopathy. However, conventional diagnostic approaches are often invasive, costly, and unsuitable for population-scale screening. This study propose...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Universitas Muhammadiyah Semarang
2025-03-01
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| Серія: | Journal of Intelligent Computing and Health Informatics |
| Предмети: | |
| Онлайн доступ: | https://jurnal.unimus.ac.id/index.php/ICHI/article/view/17299 |
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