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Data at Scale

Authors :
Kubben, P.
Dumontier, M.
Dekker, A.
Traverso, A.
Dankers, F.J.W.M.
Wee, L.
Kuijk, S.M.J. Van
Kubben, P.
Dumontier, M.
Dekker, A.
Traverso, A.
Dankers, F.J.W.M.
Wee, L.
Kuijk, S.M.J. Van
Source :
Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science; 11; 17; 9783319997124; Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science~~11~17~~9783319997124~~~~~
Publication Year :
2019

Abstract

Item does not contain fulltext<br />Pre-requisites to better understand the chapter: basic knowledge of major sources of clinical data. Logical position of the chapter with respect to the previous chapter: in the previous chapter, you have learned what the major sources of clinical data are. In this chapter, we will dive into the main characteristics of presented data sources. In particular, we will learn how to distinguish and classify data according to its scale. Learning objectives: you will learn the major differences between data sources presented in previous chapters; how clinical data can be classified according to its scale. You will get familiar with the concept of 'big' clinical data; you will learn which are the major concerns limiting 'big' data exchange.

Details

Database :
OAIster
Journal :
Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science; 11; 17; 9783319997124; Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science~~11~17~~9783319997124~~~~~
Publication Type :
Electronic Resource
Accession number :
edsoai.on1377190712
Document Type :
Electronic Resource