Data Normalization
Data Normalization is the process of transforming heterogeneous health data into a consistent, standardized format to ensure syntactic and semantic interoperability across disparate systems within a Health Information Exchange.
1.1K
Publications
85.3K
Citations
3.8K
Authors
1.4K
Institutions
Publications per year
2017–2026
432
1.1K
N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison, Brian Avants, Philip A. Cook et al. · IEEE Transactions on Medical Imaging · 2010 · 6.4K citations
Medicine, Neuroscience, Radiology +16
Scalable and accurate deep learning with electronic health records.
2018 · 2.4K citations
Normalization of cDNA microarray data
Gordon K. Smyth · Methods · 2003 · 1.9K citations
1–5 of 1.1K
3.8K
6
h-index
5
h-index
National Center for Biotechnology Information, United States
5 publications · 761 citations
5
h-index
5
h-index
5
h-index
1–5 of 3.8K
1.4K
Harvard University
Cambridge, United States
16 h-index
46 publications
5.9K citations

University of Toronto
Toronto, Canada
14 h-index
34 publications
2K citations

University of Amsterdam
Amsterdam, The Netherlands
13 h-index
28 publications
954 citations
University College London
London, United Kingdom
12 h-index
28 publications
3.6K citations
University of Pennsylvania
Philadelphia, United States
12 h-index
39 publications
46.6K citations

University of Minnesota
Minneapolis, United States
11 h-index
20 publications
1.5K citations
Stanford University
Stanford, United States
10 h-index
19 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
10 h-index
19 publications
3.2K citations
1–8 of 1.4K
Repository · 32 publications · 1.6K citations
21
h-index
JAMIA · 23 publications · 1.6K citations
20
h-index
24 publications · 1.7K citations
19
h-index
22 publications · 1K citations
17
h-index
Repository · 26 publications · 1.4K citations
16
h-index
1–5