Abstract
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.
Highlights
With the revolution of the medical infrastructure in the recent years, the smart healthcare system has been paid more considerable attention [1]
Compared with traditional medical treatment, smart healthcare has the characteristics of preventability, immediacy, and interconnection of information. rough wireless network, using portable mobile devices, medical staff can constantly perceive, process, and analyze major medical events
Medical personnel can log in the medical system anywhere to inquire about medical images and medical advice and patient’s referral information can be accessed at any hospital through the medical network
Summary
With the revolution of the medical infrastructure in the recent years, the smart healthcare system has been paid more considerable attention [1]. Smart healthcare is a novel concept that refers to a set of rules that integrate prevention, diagnosis, treatment, and management. Compared with traditional medical treatment, smart healthcare has the characteristics of preventability, immediacy, and interconnection of information. BC follows absolute privacy rules to identify users related to transactions It is mainly used for the management of information systems to help achieve secure storage, transactions, process automation, and other applications [3]. Previous studies related to application of digital technologies in smart healthcare domain were limited to study in one field or one country. No studies have mapped the current status of these two technologies in the medical field. Erefore, this research proposed portraying the status of application of two types of digital technologies, ML and BC, in smart healthcare studies by bibliometric visualization. We analyze the latest research trends based on ML and BC technology in order to provide a research direction for future research
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
