Development and Validation of a Machine Learning Model for Predicting Osteoporosis in Patients with Parkinson’s Disease
Machine-learning models based on routinely available clinical data provide transportable risk stratification for osteoporosis in PD, demonstrating good calibration and meaningful clinical utility. These tools may support targeted screening and individualized management to mitigate fracture risk in this vulnerable population.
Authors
- Yiming Yin (ORCID: https://orcid.org/0000-0001-8564-2384)
- Hongxiao Lin (ORCID: https://orcid.org/0000-0003-2878-4014)
- Xin Li (ORCID: https://orcid.org/0000-0002-1237-4742)
- Guran Yu
- Kun Zhen
- Yixin Liang
Institutions
- Nanjing University of Chinese Medicine (CN)
- Xuzhou Medical College (CN)
- The First People’s Hospital of Lianyungang (CN)
- Xuzhou Central Hospital (CN)
Publication Details
- Journal
- Neuropsychiatric Disease and Treatment
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/ndt.s582787
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Jiangsu Province
- National Key Research and Development Program of China