Hidradenitis Suppurativa Diagnosis May Be Predicted And Supported By Machine Learning Model

Researchers have developed a clinical decision support model using machine learning to assist health care providers in predicting diagnoses of hidradenitis suppurativa. The model could aid in faster and more accurate recognition of HS, potentially reducing diagnostic delays and associated costs to health care systems. Further validation is advised to refine and optimize the model’s performance.