Real World—Big Data Analytics in Healthcare

Daniele Piovani and Stefanos Bonovas ()
Additional contact information
Daniele Piovani: Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
Stefanos Bonovas: Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy

IJERPH, 2022, vol. 19, issue 18, 1-3

Abstract: The term Big Data is used to describe extremely large datasets that are complex, multi-dimensional, unstructured, and heterogeneous and that are accumulating rapidly and may be analyzed with appropriate informatic and statistical methodologies to reveal patterns, trends, and associations [...]

Keywords: n/a (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/18/11677/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/18/11677/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:18:p:11677-:d:916852

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().