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.

翻译：许多COVID-19病人在感染后出现长期症状,包括疲劳、痢疾和头痛,这些疾病对健康的长期影响仍然不清楚,有必要制定一种方法,对这些病人进行后续监测,以监测其健康状况,支持及时干预和治疗,由于缺乏足够的人力资源来跟踪病人,我们提议一种新颖的智能聊天机解决方案,辅之以机器学习,以个性化的方式收集信息(即制作数字日记)。在本篇文章中,我们描述了我们原型的设计框架和组成部分。