This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) ENT (Ear, Nose, Throat) (36) Focus Groups and Qualitative Research for Human Factors Research (1220) Machine Learning (2076) Clinical Informatics (1325) Clinical Information and Decision Making (1915) Computer-Aided Diagnosis (251)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34126, first published .
A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study

A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study

A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study

Authors of this article:

Fangzhou Yu1 Author Orcid Image ;   Peixia Wu2 Author Orcid Image ;   Haowen Deng3 Author Orcid Image ;   Jingfang Wu1, 4, 5 Author Orcid Image ;   Shan Sun5, 6 Author Orcid Image ;   Huiqian Yu1, 4, 5 Author Orcid Image ;   Jianming Yang7 Author Orcid Image ;   Xianyang Luo8 Author Orcid Image ;   Jing He8 Author Orcid Image ;   Xiulan Ma9 Author Orcid Image ;   Junxiong Wen9 Author Orcid Image ;   Danhong Qiu10 Author Orcid Image ;   Guohui Nie11 Author Orcid Image ;   Rizhao Liu11 Author Orcid Image ;   Guohua Hu12 Author Orcid Image ;   Tao Chen12 Author Orcid Image ;   Cheng Zhang3 Author Orcid Image ;   Huawei Li1, 4, 5, 6, 13 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. Halmágyi G, Akdal G, Welgampola M, Wang C. Neurological update: neuro-otology 2023. Journal of Neurology 2023;270(12):6170 View
  2. Ernst K, Rémi J. Künstliche Intelligenz in der Neurologie. Nervenheilkunde 2023;42(09):603 View
  3. Frosolini A, Franz L, Caragli V, Genovese E, de Filippis C, Marioni G. Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions. Sensors 2024;24(22):7126 View
  4. Suarez‐Barcena P, Parra‐Perez A, Martín‐Lagos J, Gallego‐Martinez A, Lopez‐Escámez J, Perez‐Carpena P. Machine learning models and classification algorithms in the diagnosis of vestibular migraine: A systematic review and meta‐analysis. Headache: The Journal of Head and Face Pain 2025;65(4):695 View
  5. Muradova N. VESTİBULYAR DİSFUNKSİYANIN YENİ DİAQNOSTİK ALQORİTMİ. Azerbaijan Medical Journal 2025;(1):50 View
  6. Muradova N. SUBJECTIVE ASSESSMENT OF VESTIBULAR DISORDERS: A REVIEW OF A NEW QUESTIONNAIRE-BASED METHOD. Bulletin of Problems Biology and Medicine 2025;1(1):216 View
  7. Yang H, Li M, Zhou H, Xiao Y, Fang Q, Zhou S, Zhang R. Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study. Journal of Medical Internet Research 2025;27:e70080 View
  8. Han J, Wang T, Du X, Wang Y, Guo Z, Li D, Yu X. Construction and clinical validation of benign paroxysmal positional vertigo intelligent auxiliary diagnosis model based on big data analysis. Frontiers in Neurology 2025;16 View
  9. Zhao Y, Tian X, Wu H, Xu M, Yang R, Xiao J, Zhu Z. Machine Learning-Based Dizziness/Vertigo Disease Diagnosis by Combining Medical History and Signs. Journal of Otolaryngology - Head & Neck Surgery 2025;54 View

Books/Policy Documents

  1. Cherchi M. Otoneurology and Vestibular Medicine. View