Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

ABSTRACT: Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This condition causes joint pain and dysfunction, significantly disrupting daily life. The objective of this study is to develop an optimal machine learning model for predicting the risk of osteoarthritis in individuals aged 45 and older. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018, which included a total of 2980 individuals. The dataset was randomly divided into a training set (n = 2235) and a validation set (n = 745). Five machine learning algorithms were employed to develop the predictive model for osteoarthritis. The SHapley Additive exPlanation (SHAP) method was used to interpret the

SUBMITTER: Fu Y 

PROVIDER: S-EPMC12022327 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature