Big Data has a Big Role in Biostatistics with Big Challenges and Big Expectations

Sergio Davalos
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Sergio Davalos: Center for Business Analytics, University of Washington, USA

Biostatistics and Biometrics Open Access Journal, 2017, vol. 1, issue 3, 63-64

Abstract: Big data has now gone beyond a conceptual construct to a viable working approach for addressing and making use of huge volumes of data. The expectations of big data applications and outcomes in healthcare such as: a 20% decrease in patient mortality, better information regarding patient health and symptoms, reducing readmission, better point of care decision making, integration of smart devices and sensors with data bases, everyday genome sequencing, developing a treatment approach for cancer, and assessing the risk of readmission [1-3].

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:1:y:2017:i:3:p:63-64

DOI: 10.19080/BBOAJ.2017.01.555563

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