APA (7th ed.) Citation

Bragg, P. G., Norton, B. M., Petrak, M. R., Weiss, A. D., Kandl, L. M., Corrigan, M. L., . . . Matsuoka, A. J. (2023). 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. Acta Oto-Laryngologica, 143(4), 262. https://doi.org/10.1080/00016489.2023.2190163

Chicago Style (17th ed.) Citation

Bragg, Phillip G., Benjamin M. Norton, Michelle R. Petrak, Allyson D. Weiss, Lindsay M. Kandl, Megan L. Corrigan, Cammy L. Bahner, and Akihiro J. Matsuoka. "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." Acta Oto-Laryngologica 143, no. 4 (2023): 262. https://doi.org/10.1080/00016489.2023.2190163.

MLA (9th ed.) Citation

Bragg, Phillip G., et al. "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." Acta Oto-Laryngologica, vol. 143, no. 4, 2023, p. 262, https://doi.org/10.1080/00016489.2023.2190163.