A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study.

ABSTRACT:

Background

Web-based crowdfunding has become a popular method to raise money for medical expenses, and there is growing research interest in this topic. However, crowdfunding data are largely composed of unstructured text, thereby posing many challenges for researchers hoping to answer questions about specific medical conditions. Previous studies have used methods that either failed to address major challenges or were poorly scalable to large sample sizes. To enable further research on this emerging funding mechanism in health care, better methods are needed.

Objective

We sought to validate an algorithm for identifying 11 disease categories in web-based medical crowdfunding campaigns. We hypothesized that a disease identification algorithm combining a named entity recognitio

SUBMITTER: Doerstling SS 

PROVIDER: S-EPMC9257615 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature