Applications of Machine Learning Methods in Retrospective Studies on Hearing

Francois Charih1, Ashlynn Steeves1, Matthew Bromwich2, Amy E. Mark3, Renée Lefrançois3, James R. Green1

  • 1Carleton University
  • 2Children's Hospital of Eastern Ontario
  • 3Clearwater Clinical

Details

15:30 - 17:00 | Mon 29 Oct | Ambassador C | A4L-A.5

Session: Cognitive Computing & Deep Learning in Life Sciences

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Abstract

In this work, we present a new machine learning-based approach for imputing missing measurements in audiological measurements. We also present a Gaussian mixture model-based method for detecting potential unreliable measurements of hearing thresholds.