Identifying the Most Important Factors Associated with Multiple Sclerosis Using the Decision Tree Method.

Multiple sclerosis (MS) is a neurological disease that destroys the insulating covering of nerve cells. It is the third leading cause of disability after trauma and rheumatism. Studies have shown that the main cause of MS is not fully understood, and it is believed to be influenced by a combination of unknown genetic and environmental factors. Considering the ability of machine learning techniques, such as decision trees, to identify significant factors related to diseases, this study aimed to investigate various factors related to MS using the decision tree method.