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Internet of Things in Health Trends Through Bibliometrics and Text Mining.

ΤίτλοςInternet of Things in Health Trends Through Bibliometrics and Text Mining.
Publication TypeJournal Article
Year of Publication2017
AuthorsKonstantinidis, S. Th, Billis A., Wharrad H., & Bamidis P. D.
JournalStud Health Technol Inform
Volume235
Pagination73-77
Date Published2017
ISSN1879-8365
Λέξεις κλειδιάBibliometrics, Data Mining, Databases, Bibliographic, Internet
Abstract

Recently a new buzzword has slowly but surely emerged, namely the Internet of Things (IoT). The importance of IoT is identified worldwide both by organisations and governments and the scientific community with an incremental number of publications during the last few years. IoT in Health is one of the main pillars of this evolution, but limited research has been performed on future visions and trends. Thus, in this study we investigate the longitudinal trends of Internet of Things in Health through bibliometrics and use of text mining. Seven hundred seventy eight (778) articles were retrieved form The Web of Science database from 1998 to 2016. The publications are grouped into thirty (30) clusters based on abstract text analysis resulting into some eight (8) trends of IoT in Health. Research in this field is obviously obtaining a worldwide character with specific trends, which are worth delineating to be in favour of some areas.

Alternate JournalStud Health Technol Inform
PubMed ID28423758

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