Applying a Robust Deep Learning Model to Assess the Remaining Amount of Foods With High Glycemic Index in Taiwanese Hospital Diabetic Meals: A Focus on Rice and Congee, With Milk as a Low-Glycemic Reference
The Xception and MLP models effectively quantify foods with high glycemic index and identify milk as a low-glycemic reference, demonstrating strong predictive performance and generalizability. Further studies are warranted to extend this approach to other food types.
Authors
- Sơn Trần Hùng
- Ying-Yueh Chu (ORCID: https://orcid.org/0000-0002-8845-0828)
- Yung‐Chuan Lu (ORCID: https://orcid.org/0000-0002-7119-8451)
- Shih‐Ming Chuang (ORCID: https://orcid.org/0000-0002-8622-1968)
- Hsien‐Yu Fan (ORCID: https://orcid.org/0000-0001-9995-9497)
- Yu-Tien Chang (ORCID: https://orcid.org/0000-0002-1801-7041)
- Pey‐Rong Chen (ORCID: https://orcid.org/0000-0002-2035-7088)
- Kuo‐Liong Chien (ORCID: https://orcid.org/0000-0003-4979-8351)
- Yao‐Haur Kuo (ORCID: https://orcid.org/0000-0001-9822-9775)
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Taiwan University (TW)
- Chinese Culture University (TW)
- Mackay Memorial Hospital (TW)
- National Taiwan University Hospital (TW)
- Taipei Medical University (TW)
Publication Details
- Journal
- Current Developments in Nutrition
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1016/j.cdnut.2025.107569
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Taiwan University Hospital
- National Taiwan University