Data Quality Review
Data Quality Review is a methodological process within the domain of underwriting audit that systematically evaluates the accuracy, completeness, consistency, and reliability of data to ensure its suitability for risk assessment and decision-making purposes.
42
Publications
1.6K
Citations
235
Authors
102
Institutions
Publications per year
2017–2026
17
Parents
42
1–5 of 42
235
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 235
102
National Taiwan University Hospital
Taipei, Taiwan
2 h-index
3 publications
91 citations

National Taiwan University
Taipei, Taiwan
2 h-index
5 publications
125 citations

McMaster University
Hamilton, Canada
2 h-index
6 publications
297 citations
Changhua Christian Hospital
Changhua, Taiwan
1 h-index
1 publications
57 citations
Queen's University
Kingston, Canada
1 h-index
4 publications
68 citations
Kyushu Dental University
Kitakyushu, Japan
1 h-index
2 publications
24 citations
Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée
Troyes, France
1 h-index
1 publications
11 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
24 citations
1–8 of 102
2 publications · 241 citations
2
h-index
2 publications · 74 citations
2
h-index
ATS · 2 publications · 77 citations
2
h-index
WJES · 1 publications · 50 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5