Related Experiment Video

Updated: Mar 7, 2026

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
08:32

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models

Published on: March 1, 2015

22.2K

Symptom clustering of old adult dysphagic patient phenotypes by unsupervised machine learning using multidimensional

Yingying Zhang1, Yinuo Dai2, Haifang Wang3

  • 1Department of Radiotherapy, the First Affiliated Hospital of Soochow University, Suzhou, China.

BMC Geriatrics
|March 5, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Clinical assessmentDysphagiaPhenotypesSymptom clusteringUnsupervised machine learning

More Related Videos

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

594
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

Related Concept Videos