Journal
Ear and Hearing
Publication Date
9-1-2025
Volume
46
Issue
5
First Page
1266
Last Page
1281
Document Type
Open Access Publication
DOI
10.1097/AUD.0000000000001664
Rights and Permissions
Shew MA, Pavelchek C, Michelson A, Ortmann A, Lefler S, Walia A, Durakovic N, Phillips A, Rejepova A, Herzog JA, Payne P, Piccirillo JF, Buchman CA. Machine Learning Feasibility in Cochlear Implant Speech Perception Outcomes-Moving Beyond Single Biomarkers for Cochlear Implant Performance Prediction. Ear Hear. 2025 Sep-Oct 01;46(5):1266-1281. doi: 10.1097/AUD.0000000000001664. Copyright © 2025 The Authors. Ear & Hearing is published on behalf of the American Auditory Society, by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
Recommended Citation
Shew, Matthew A.; Pavelchek, Cole; Michelson, Andrew; Ortmann, Amanda; Lefler, Shannon; Walia, Amit; Durakovic, Nedim; Phillips, Alisa; Rejepova, Ayna; Herzog, Jacques A.; Payne, Phillip; Piccirillo, Jay F.; and Buchman, Craig A., "Machine learning feasibility in cochlear implant speech perception outcomes-Moving beyond single biomarkers for cochlear implant performance prediction." Ear and Hearing. 46, 5. 1266 - 1281. (2025).
https://digitalcommons.wustl.edu/oa_4/6083
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
