作者
Jesus Serrano-Guerrero, Mohammad Bani-Doumi, Francisco P Romero, Jose A Olivas
发表日期
2022/6/1
期刊
Artificial Intelligence in Medicine
卷号
128
页码范围
102298
出版商
Elsevier
简介
Introduction
Most hospital assessment systems are based on the study of objective statistical variables as well as patient opinions on their experiences with respect to the services offered by each hospital. Nevertheless, studies have indicated that most of these assessment systems fail to detect patient emotions when they are assessing their stays in a hospital. This information is vital to understanding most of the patient reviews, which are very complex and convey several emotions per review. Therefore, this study aimed to address the problem of detecting multiple emotions from patient reviews.
Methods
First, a large set of patient opinions was collected from a website that allowed patients to publish their experiences when visiting hospitals. Second, each opinion was labeled with the corresponding conveyed emotions. Third, a deep learning architecture based on a bidirectional gated recurrent unit with a …
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