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Big data in healthcare:Conceptual network structure,key challenges and opportunities

数字通信与网络:英文版 2023年第4期9卷 856-868页

作者： Leonardo B.Furstenaua Pedro Leivas michele kremer sott Michael S.Dohan Jose Ricardo Lopez-Robles Manuel J.Cobo Nicola Luigi Bragazzi Kim-Kwang Raymond Choo Post-Graduate Program in Industrial Engineering Federal University of Rio Grande Do SulPorto Alegre90035-190Brazil University of Santa Cruz Do Sul Av.Independencia 2293Santa Cruz Do SulRSBrazil Business School Unisinos UniversityAv.Dr.Nilo Peçanha 160091330-002Porto AlegreBrazil Faculty of Business Administration Lakehead UniversityThunder BayOntarioCanada Autonomous University of Zacatecas Av.Ramon Lopez Velarde Col.CentroZacatecas98000Mexico Department of Computer Science and Artificial Intelligence Andalusian Research Institute in Data Science and Computational Intelligence(DaSCI)University of GranadaGranada 18071Spain York University ON M3J 1P3Canada Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249USA

Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources *** data has attracted wide attention from academia,for example,in supporting patients and health professionals by improving the accuracy of decision-making,diagnosis and disease *** research aimed to perform a Bibliometric Performance and Network Analysis(BPNA)supported by a Scoping Review(SR)to depict the strategic themes,thematic evolution structure,main challenges and opportunities related to the concept of big data applied in the healthcare *** this goal in mind,4857 documents from the Web of Science covering the period between 2009 to June 2020 were analyzed with the support of SciMAT *** bibliometric performance showed the number of publications and citations over time,scientific productivity and the geographic distribution of publications and research *** strategic diagram yielded 20 clusters and their relative importance in terms of centrality and *** thematic evolution structure presented the most important themes and how it changes over ***,we presented the main challenges and future opportunities of big data in healthcare.

关键词： Big data Healthcare digitalization Bibliometric Strategic intelligence Co-word analysis SciMAT

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Internet of things:Conceptual network structure,main challenges and future directions

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Digital Communications and Networks 2023年第3期9卷 677-687页

作者： Leonardo B.Furstenau Yan Pablo Reckziegel Rodrigues michele kremer sott Pedro Leivas Michael S.Dohan José Ricardo López-Robles Manuel J.Cobo Nicola Luigi Bragazzi Kim-Kwang Raymond Choo Department of Industrial Engineering Federal University of Rio Grande do SulPorto Alegre 90035-190Brazil University of Santa Cruz do Sul Av.Independencia2293Santa Cruz do SulRSBrazil Business School Unisinos UniversityAv.Dr.Nilo Peçanha 160091330-002Porto AlegreBrazil Lakehead University Thunder BayONP7B 5E1Canada Academic Unit of Accounting and Management Autonomous University of ZacatecasCalle Comercio y Administracion S/NFracc.ProgresoC.P.98066ZacatecasZacatecasMexico Department of Computer Science and Artificial Intelligence University of Granada18071 GranadaSpain York University ONM3J 1P3Canada Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249USA

Internet of Things(IoT)is a key technology trend that supports our digitalized society in applications such as smart countries and smart *** this study,we investigate the existing strategic themes,thematic evolution structure,key challenges,and potential research opportunities associated with the *** this study,we conduct a Bibliometric Performance and Network Analysis(BPNA),supplemented by an exhaustive Systematic Literature Review(SLR).Specifically,in BPNA,the software SciMAT is used to analyze 14,385 documents and 30,381 keywords in the Web of Science(WoS)database,which was released between 2002 and *** results reveal that 31 clusters are classified according to their importance and development,and the conceptual structures of key clusters are presented,along with their performance analysis and the relationship with other *** thematic evolution structure describes the important cluster(s)over *** the SLR,23 documents are *** SLR reveals key challenges and limitations associated with the *** expect the results will form the basis of future research and guide decision-making in the IoT and other supporting industries.

关键词： Internet of things Strategic intelligence Industry 4.0 SciMAT Bibliometric analysis Science mapping

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