Investigating artificial intelligence models for predicting joint pain from serum biochemistry.

Objective: The study used machine learning models to predict the clinical outcome with various attributes or when the models chose features based on their algorithms.

Methods: Patients who presented to an orthopedic outpatient department with joint swelling or myalgia were included in the study. A proforma collected clinical information on age, gender, uric acid, C-reactive protein, and complete blood count/liver function test/renal function test parameters.