Open AccessA Scientometric Analysis of Artificial Intelligence and Big data for well-being and human potential
Author(s) -
Zonghe Zhang,
Han-Teng Liao,
Xue Wu,
Zhichao Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/806/1/012026
Subject(s) - big data , happiness , biobank , field (mathematics) , data science , computer science , the internet , artificial intelligence , psychology , world wide web , data mining , mathematics , bioinformatics , social psychology , biology , pure mathematics
Technology has a significant impact on our way of life. Research on artificial intelligence and big data and the cross-field of human well-being plays an important role in guiding the application of science and technology to the people-oriented and good application direction. The reviews in this field focused on the achievements of artificial intelligence and big data in a specific field, such as subjective well-being/biobanks/Translational medicine (TM)/connected health (CH) and medical Internet of Things(mIoT). There is no bibliometric study on the use of artificial intelligence and big data to promote human happiness and health. To provide a systematic review of the literature on Positive Artificial Intelligence and Big data, this paper presents the main institutions, authors, funding agencies and disciplines, based on a scientometric analysis of 243 articles collected from Web of Science.