Machine Learning-Based Mobile Application for Predicting Posterior Canal Benign Paroxysmal Positional Vertigo.

Journal: Laryngoscope investigative otolaryngology
Published Date:

Abstract

OBJECTIVE: This study investigated the predictability of the Posterior Canal Being Paroxysmal Positional Vertigo (PC-BPPV) using vertigo/dizziness features and medical history in machine learning. Secondly, this study aimed to develop a mobile application using the model that predicts PC-BPPV with the highest accuracy rate.

Authors

  • Emre Soylemez
    Department of Audiometry, Vocational School of Health Services, Karabuk University, Karabuk, Türkiye.
  • Sait Demir
    Department of Software Engineering Faculty of Engineering, Karabuk University Turkey.
  • Kasım Ozacar
    Department of Computer Engineering Faculty of Engineering, Karabuk University Turkey.

Keywords

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