Application of machine learning methods to diagnosis of neurological disorders from medical records

Diagnosis of patients with neurological disorders such as stroke and non-stroke, seizure or no seizure and multiple sclerosis can be difficult for non-neurologists. Improving diagnosis can help health care workers to expedite care. In this study, we plan to use supervised machine learning approach to compare models for classifying patients presenting to emergency department or outpatient clinics with potential neurological disorders..