Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis | Zendy

Yang Li | Zendy; Biaoan Shan | Zendy; Beiwei Li | Zendy; Xiaoju Liu | Zendy; Yi Pu | Zendy

Open Access

Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis

Author(s) -

Yang Li,

Biaoan Shan,

Beiwei Li,

Xiaoju Liu,

Yi Pu

Publication year - 2021

Publication title -

journal of healthcare engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.509

H-Index - 29

eISSN - 2040-2309

pISSN - 2040-2295

DOI - 10.1155/2021/9739219

Subject(s) - healthcare industry , field (mathematics) , health care , blockchain , data science , knowledge management , bibliometrics , web of science , visualization , computer science , business , engineering management , medline , engineering , world wide web , artificial intelligence , political science , economic growth , economics , computer security , mathematics , pure mathematics , law

The emergence of machine learning (ML) and blockchain (BC) technology has greatly enriched the functions and services of healthcare, giving birth to the new field of “smart healthcare.” This study aims to review the application of ML and BC technology in the smart medical industry by Web of Science (WOS) using bibliometric visualization. Through our research, we identify the countries with the greatest output, the major research subjects, funding funds, and the research hotspots in this field. We also find out the key themes and future research areas in application of ML and BC technology in healthcare area. We reveal the different aspects of research under the two technologies and how they relate to each other around five themes.

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