Intelligent Conversational Agents in Patient Self-Management: A Systematic Survey Using Multi Data Sources.

Clicks: 255
ID: 16530
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #80 of 170 articles by views in Studies in health technology and informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 170 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Intelligent conversation agents (ICAs) have been used for patient self-management and support in recent years. This study systematically reviewed ICA resarch and innovation in academic and industrial institutions using bibliometric and patent analysis. We reported the types of diseases and patients, and the ICAs delivery approaches for patient-self-management. We identified the gaps in the productivity and focused areas.
Reference Key
xing2019intelligentstudies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xing, Zhaopeng;Yu, Fei;Qanir, Yousef A Mustafa;Guan, Ting;Walker, Jennifer;Song, Lixin;
Journal Studies in health technology and informatics
Year 2019
DOI
10.3233/SHTI190661
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.