Knowledge Domain and Emerging Trends in Internet-based diagnosis and treatment services:A Scientometric Review Based on CiteSpace V Analysis (Preprint)

Author:

Sheng MengfeiORCID

Abstract

BACKGROUND

In the fight against the COVID-19 epidemic, internet-based diagnosis and treatment services are a promising technology that can be used effectively in health care.

OBJECTIVE

This study aimed to review the research status and to demonstrate the hot spots and frontiers of Internet-based diagnosis and treatment via CiteSpace V.

METHODS

We searched the Web of Science Core Collection (WoSCC) for studies related to Internet-based diagnosis and treatment from 2001 to 2020. CiteSpace V was used to generate network maps of the collaborations between authors, countries, and institutions and reveal hot spots and frontiers of Internet-based diagnosis and treatment. 

RESULTS

A total of 1067 studies related to Internet-based diagnosis and treatment from the Web of Science Core Collection (WoSCC) were retrieved. Gerhard Andersson was the most prolific author (16 articles). The USA and Karolinska Inst were the leading countries and institutions in this field, with 590 and 57 publications, respectively. There was active collaboration among the authors, countries, and institutions. Hot topics focused on artificial intelligence, health-related quality, and breast cancer. 

CONCLUSIONS

Based on the results of CiteSpace V, the current study suggests active cooperation between authors, countries, and institutions. Major ongoing research trends include the diagnosis and treatment of cancer based on artificial intelligence or Internet focus and the interaction between Internet-based diagnosis and treatment services and health-related quality.

Publisher

JMIR Publications Inc.

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