Author: Lei, Hannah; Lu, Weiqi; Ji, Alan; Bertram, Emmett; Gao, Paul; Jiang, Xiaoqian; University, Arko Barman Rice; Houston,; States, United; Houston, The University of Texas Health Science Center at
Title: COVID-19 Smart Chatbot Prototype for Patient Monitoring Cord-id: wwk56elk Document date: 2021_3_11
ID: wwk56elk
Snippet: 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.
Document: 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.
Search related documents:
Co phrase search for related documents- addition explore and machine learning: 1, 2
- long term monitoring and machine learning: 1, 2, 3
- low normal and machine learning: 1
Co phrase search for related documents, hyperlinks ordered by date