2021/03/11 by Hannah Lei, Weiqi Lu, Lei, Hannah +11
Computer Science · Psychology · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Mental Health Interventions #FOS: Computer and information sciences #I.2.1 #I.2.7 #J.3 #Machine Learning in Healthcare
paper · pdf · doi:10.48550/arxiv.2103.06816
openalex publication_date 2021/03/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Many COVID-19 patients developed prolonged symptoms after the infection, including fatigue, delirium, and headache. The long-term health impact of these conditions is still not clear. It is necessary to develop a way to follow up with these patients for monitoring their health status to support timely intervention and treatment. In the lack of sufficient human resources to follow up with patients, we propose a novel smart chatbot solution backed with machine learning to collect information (i.e., generating digital diary) in a personalized manner. In this article, we describe the design framework and components of our prototype.