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Patient preference analysis for online consultation based on user-generated content
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DOI：10.1016/j.artmed.2026.103427.png)
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Abstract
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• A doctor recommendation model is proposed based on preference learning. • Personalized preferences of patients are estimated from user-generated content. • The quality of user-generated content is evaluated. • A matching model between individual and cohort characteristics is established.
Keywords:
patient preference
user-generated content
recommendation model
preference learning
online consultation
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