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Dataset Information

Using Topic Modeling to Understand Patients' and Caregivers' Perspectives About Left Ventricular Assist Device: Thematic Analysis.


ABSTRACT:

Background

Heart failure (HF) is a significant global clinical and public health challenge, impacting 64.3 million individuals worldwide. To address the scarcity of donor organs, left ventricular assist device (LVAD) implantation has become a crucial intervention for managing end-stage HF, serving as a bridge to heart transplantation or as a destination therapy. Web-based health forums, such as MyLVAD.com, play a vital role as trusted sources of information for individuals with HF symptoms and their caregivers.

Objective

We aim to uncover the latent topics within the posts shared by users on the MyLVAD.com website.

Methods

Using the latent Dirichlet allocation algorithm and a visualization tool, our objective was to uncover latent topics within the posts shared on the

SUBMITTER: Melnikov S 

PROVIDER: S-EPMC11350299 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature