[HTML][HTML] A Questionnaire-based ensemble learning model to predict the diagnosis of vertigo: model development and validation study

F Yu, P Wu, H Deng, J Wu, S Sun, H Yu, J Yang… - Journal of medical …, 2022 - jmir.org
Background Questionnaires have been used in the past 2 decades to predict the diagnosis
of vertigo and assist clinical decision-making. A questionnaire-based machine learning …

Diagnostic accuracy and usability of the EMBalance decision support system for vestibular disorders in primary care: proof of concept randomised controlled study …

DE Bamiou, D Kikidis, T Bibas, N Koohi… - Journal of …, 2022 - Springer
Background Dizziness and imbalance are common symptoms that are often inadequately
diagnosed or managed, due to a lack of dedicated specialists. Decision Support Systems …

Direct-to-patient survey for diagnosis of Benign Paroxysmal Positional Vertigo

HA Richburg, RJ Povinelli… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Given the high incidence of dizziness and its frequent misdiagnosis, we aim to create a
clinical support system to classify the presence or absence of benign paroxysmal positional …

The Importance of Models in Data Analysis with Small Human Movement Datasets--Inspirations from Neurorobotics Applied to Posture Control of Humanoids and …

V Lippi, C Maurer, T Mergner - arXiv preprint arXiv:2102.02543, 2021 - arxiv.org
This work presents a system identification procedure based on Convolutional Neural
Networks (CNN) for human posture control using the DEC (Disturbance Estimation and …

Deep learning for posture control nonlinear model system and noise identification

V Lippi, T Mergner, C Maurer - arXiv preprint arXiv:2006.04515, 2020 - arxiv.org
In this work we present a system identification procedure based on Convolutional Neural
Networks (CNN) for human posture control models. A usual approach to the study of human …