Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning

The coronavirus disease (COVID-19) pandemic has flooded public health organizations around the world, highlighting significance and responsibility of medical crowdfunding in filling a series gaps shortcomings publicly funded system providing new fundraising solution for people that addresses health-related needs. However, fact remains from sources is relatively low only few studies have been conducted regarding this issue. Therefore, performance predictions multi-model comparisons important guiding to improve rate promote sustainable development crowdfunding. Based on data 11,771 campaigns leading donation-based platform called Weibo Philanthropy, machine-learning algorithms were applied. results demonstrate potential ensemble-based prediction project amounts leave some insights can be taken into consideration by researchers help produce management practices.