Development and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study
Abstract Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of individuals developing OA is crucial for the timely identification of potential populations of OA. This allows for further diagnosis and intervention, which is significant for improving patient...
Saved in:
| Main Authors: | Jiexin Chen, Qiongbing Zheng, Youmian Lan, Meijing Li, Ling Lin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-83524-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis
by: Qiongbing Zheng, et al.
Published: (2025-06-01) -
Development and validation of a nomogram for arthritis: a cross-sectional study based on the NHANES
by: Yue Lin, et al.
Published: (2025-02-01) -
Association between conicity index (C-index), relative fat mass (RFM), and osteoarthritis (OA): evidence from NHANES 2003–2018
by: Xiaodong Ren, et al.
Published: (2025-04-01) -
Development and validation a nomogram to predict long-term mortality risks of PRISm and mild-to-moderate COPD based on NHANES 2007–2012
by: Xiangqing Hou, et al.
Published: (2025-05-01) -
Association of weight-adjusted-waist index with all-cause and cardiovascular mortality in hypertension: a prospective cohort study
by: Youmian Lan, et al.
Published: (2025-08-01)