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COVID-19 Smart Chatbot Prototype for Patient Monitoring

arXiv 2103.06816 ↗First posted 11 Mar 2021cs.CL cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 20 references that are in the map. First posted on arXiv 11 Mar 2021.

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References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
  3. 2019Publicly Available Clinical BERT Embeddingscited by 995
  4. 2019ScispaCy: Fast and Robust Models for Biomedical Natural Language Processingcited by 244
  5. 2020CORD-19: The COVID-19 Open Research Datasetcited by 179
  6. 2019Benchmarking Natural Language Understanding Services for building Conversational Agentscited by 166
  7. 2017Rasa: Open Source Language Understanding and Dialogue Managementcited by 67
  8. 2020DIET: Lightweight Language Understanding for Dialogue Systemscited by 35
  9. 2020Med7: a transferable clinical natural language processing model for electronic health recordscited by 15

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