Prediction of dysphagia aspiration through machine learning-based analysis of patients’ postprandial voices

Prediction of dysphagia aspiration through machine learning-based analysis of patients’ postprandial voices

Abstract Background Conventional diagnostic methods for dysphagia have limitations such as long wait times, radiation risks, and restricted evaluation. Therefore, voice-based diagnostic and monitoring technologies are required to overcome these limitations. Based on our hypothesis regarding the impa...

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Bibliographic Details
Main Authors: Jung-Min Kim, Min-Seop Kim, Sun-Young Choi, Ju Seok Ryu
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Dysphagia aspiration
Postprandial voice-based
Disease prediction model
Machine learning
Remote diagnosis and monitoring technology
Voice analysis
Online Access:https://doi.org/10.1186/s12984-024-01329-6

Internet

https://doi.org/10.1186/s12984-024-01329-6

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