Article

Symptom Clustering of Dysphagia Phenotypes by Unsupervised Machine Learning Using Multidimensional Characteristics: A Cross-sectional Study of the Elderly Chinese Population

2025-01-28

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Dysphagia severely affects the elderly population, but its signs and symptoms are variable. Existing assessment tools fall short in considering the coordination of relevant muscle groups in the pathology of dysphagia and fail to characterize dysphagia in a comprehensive manner. <bold>Methods:</bold> Senior dysphagia patients (>65 years old) diagnosed by Vid...

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Literature Corpus work: 85266496-3953-5c80-8f08-e06f4ac43753
DOI: 10.21203/rs.3.rs-5856988/v1

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