Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.
Journal:
BMC medical informatics and decision making
Published Date:
Nov 9, 2022
Abstract
BACKGROUND: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs commonly result in resistance and reversion to uncontrolled drug-resistant epilepsy and are often associated with significant adverse effects. This has led to a trial-and-error system in which physicians spend months to years attempting to identify the optimal therapeutic approach.