Using machine learning-based techniques to explore predictability of progressive hearing loss in a pediatric population

Research Associate, Chiildren’s Hospital of Eastern Ontario Research Institute Inc.

Permanent hearing loss is a disorder affecting about 1500 Canadian children each year and can have an impact on developmental outcomes. Despite well-established screening programs, surveillance is necessary since many children eventually experience a decrease in hearing levels. Using machine-learning techniques, Flora’s study will explore predictability of hearing loss decline and its relationship to clinical factors. The ability to foresee progression in hearing loss would facilitate decision-making, help guide parents, and enhance patient-centered care.