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

Artificial Intelligence (1198) ENT (Ear, Nose, Throat) (21) Focus Groups and Qualitative Research for Human Factors Research (772) Machine Learning (1385) Clinical Informatics (912) Clinical Information and Decision Making (1328) Computer-Aided Diagnosis (97)

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 (2) 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