Unraveling Functional Dysphagia: A Game-Changing Automated Machine-Learning Diagnostic Approach

Unraveling Functional Dysphagia: A Game-Changing Automated Machine-Learning Diagnostic Approach

(1) Background: Dysphagia affects around 16% of the US population. Diagnostic tests like X-ray barium swallow and endoscopy are used initially to diagnose the cause of dysphagia, followed by high-resolution esophageal manometry (HRM). If the above tests are normal, the patient is classified as funct...

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Bibliographic Details
Main Authors: Ali Zifan, Junyue Lin, Zihan Peng, Yiqing Bo, Ravinder K. Mittal
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
functional dysphagia
shallow learners
distension–contraction features
Online Access:https://www.mdpi.com/2076-3417/13/18/10116

Internet

https://www.mdpi.com/2076-3417/13/18/10116

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