| Literature DB >> 35920577 |
H Salam Bani Hani1, M Muayyad Ahmad2.
Abstract
This paper aims to conceptually analyze "large-scale data" in the healthcare field to improve its clarity in the literature. Thematic analysis was applied to avoid the haphazard results in recognizing the attributes, antecedents, and consequences of the concept analysis. Large-scale data is a huge heterogeneous amount of data characterized by high volume, velocity, variety, and veracity. Large-scale data analysis supports the early prevention measures through the prediction of chronic diseases, reducing the cost, and unnecessary admission and re-admission of hospitalization. Large-scale data is a huge amount of data that is beyond managing.Entities:
Mesh:
Year: 2022 PMID: 35920577
Source DB: PubMed Journal: Georgian Med News ISSN: 1512-0112