Application of supervised machine learning algorithms for the evaluation of utricular function on patients with Meniere’s disease: utilizing subjective visual vertical and ocular-vestibular-evoked myogenic potentials-Reference-Cited by-同舟云学术

Application of supervised machine learning algorithms for the evaluation of utricular function on patients with Meniere’s disease: utilizing subjective visual vertical and ocular-vestibular-evoked myogenic potentials

Published:2023-04-03 Issue:4 Volume:143 Page:262-273
ISSN:0001-6489
Container-title:Acta Oto-Laryngologica
language:en
Short-container-title:Acta Oto-Laryngologica

Author:

Bragg Phillip G.¹,Norton Benjamin M.²,Petrak Michelle R.³,Weiss Allyson D.¹,Kandl Lindsay M.¹,Corrigan Megan L.¹,Bahner Cammy L.⁴,Matsuoka Akihiro J.¹²⁵⁶^ORCID

Affiliation:

1. Department of Otolaryngology-Head and Neck Surgery, Northwestern Medicine, Chicago, IL, USA

2. Department of Otolaryngology-Head and Neck Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

3. Interacoustics A/S, Assens, Denmark

4. Interacoustics US, Eden Prairie, MN, USA

5. Hugh Knowles Hearing Centre, Evanston, IL, USA

6. Department of Otolaryngology-Head and Neck Surgery, University of California San Diego, San Diego, CA, USA

Funder

Northwestern Medicine Group

Summer 2022 NMG Pre-Med Internship Mechanism

Department of Otolaryngology-Head and Neck Surgery

Northwestern University