Towards a consensus on a hearing preservation classification system.

Henryk SkarzynskiP van de HeyningS AgrawalS L ArauzM AtlasW BaumgartnerM CaversaccioM de BodtJ GavilanB GodeyK GreenW GstoettnerR HagenD M HanM KameswaranE KarltorpM KompisV KuzovkovL LassalettaF LevevreY LiM ManikothJ MartinR MlynskiJ MuellerM O'DriscollL ParnesS PrentissS PulibalathingalC H RaineG RajanR RajeswaranJ A RivasA RivasP H SkarzynskiG SprinzlH StaeckerK StephanS UsamiY YanovM E ZernottiK ZimmermannA LorensG Mertens

Published in: Acta oto-laryngologica. Supplementum (2016)

The Hearing Preservation Classification System proposed herein fulfills the following necessary criteria: 1) classification is independent from users' initial hearing, 2) it is appropriate for all cochlear implant users with measurable pre-operative residual hearing, 3) it covers the whole range of pure tone average from 0 to 120 dB; 4) it is easy to use and easy to understand.

Keyphrases

hearing loss
machine learning
deep learning