Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.
Saved in:
| Title: | Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults. |
|---|---|
| Authors: | ShangGuan Y; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Ji K; Department of Clinical Medical Research, Binhai County People's Hospital, Binhai Clinical College, Yangzhou University Medical College, Yancheng, Jiangsu, China.; College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, Hubei, China., Lin Z; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., He C; Department of Rehabilitation Medicine, Shantou University Medical College/Shenzhen Children's Hospital, Shantou, Guangdong, China., Sim YJ; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Liu H; Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China., Huang K; Department of Health and Physical Education, The Education University of Hong Kong, Tai Po, Hong Kong SAR, China., Wu K; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Yan L; Department of Articular Orthopedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China., Xu K; Department of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China., Li H; Department of Articular Orthopedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China. |
| Source: | Frontiers in nutrition [Front Nutr] 2025 Nov 17; Vol. 12, pp. 1666477. Date of Electronic Publication: 2025 Nov 17 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S. A Country of Publication: Switzerland NLM ID: 101642264 Publication Model: eCollection Cited Medium: Print ISSN: 2296-861X (Print) Linking ISSN: 2296861X NLM ISO Abbreviation: Front Nutr Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2296-861X |
|---|---|
| DOI: | 10.3389/fnut.2025.1666477 |
