Predicting the Swallow-Related Quality of Life of the Elderly Living in a Local Community Using Support Vector Machine

Predicting the Swallow-Related Quality of Life of the Elderly Living in a Local Community Using Support Vector Machine

<i>Background and Objectives:</i> This study developed a support vector machine (SVM) algorithm-based prediction model with considering influence factors associated with the swallowing quality-of-life as the predictor variables and provided baseline information for enhancing the swallowi...

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Bibliographic Details
Main Author: Haewon Byeon
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:International Journal of Environmental Research and Public Health
Subjects:
swallowing quality-of-life
dysphagia
elderly living in a local community
support vector machine
risk factor
Online Access:https://www.mdpi.com/1660-4601/16/21/4269

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