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Article

Symptom clustering of old adult dysphagic patient phenotypes by unsupervised machine learning using multidimensional characteristics: a cross-sectional study.

BMC geriatrics - 5 Mar 2026

Zhang Yingying, Dai Yinuo, Wang Haifang, Gong Zhina, Cai Jianzheng

Abstract excerpt

BACKGROUND: Dysphagia severely affects the old adult population. Its signs and symptoms are variable, which poses challenges to diagnosis and treatment. 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. The aim of this study was to identify different phenotypes of dysphagia...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41787362
DOI: 10.1186/s12877-026-07247-7
PMCID: PMC13072508

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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