Publications by authors named "Fan-Xuan Meng"
Arthritis Res Ther
January 2025
Article Synopsis
- The study examines how effective machine learning, particularly the Random Forest Classifier, is in predicting thyroid-specific autoantibodies in patients with Primary Sjogren's syndrome (pSS) based on clinical data.
- A total of 96 pSS patients were analyzed through thyroid function tests to categorize them by the presence of autoantibodies, leading to the exploration of various risk factors using four different machine learning algorithms.
- The Random Forest Classifier yielded the best results (AUC = 0.755), highlighting age, IgG levels, complement C4, and dry mouth as significant predictors for autoimmune thyroiditis in these patients.
