Navya Mrig

A Machine Learning Framework for Predicting Speech Outcomes in Cochlear Implant Recipients Using Genetic Markers

This study develops an AI-based Random Forest framework that integrates genetic variants and demographic data to accurately predict speech outcomes after cochlear implantation, supporting personalized prognosis and rehabilitation strategies.