Clinical Data Modeling
Clinical Data Modeling is the systematic process of structuring, organizing, and representing clinical information entities and their relationships within a formal framework to support standardized, interoperable, and computable health data use in clinical care, research, and decision-making.
796
Publications
43.1K
Citations
3.5K
Authors
1.1K
Institutions
Publications per year
2017–2026
361
796
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al. · Nature Medicine · 2021 · 720 citations · Full text
Deep Learning—A Technology With the Potential to Transform Health Care
Geoffrey E. Hinton · JAMA · 2018 · 678 citations
Clinical versus Statistical Prediction.
Raymond F. Sletto, Paul E. Meehl · American Sociological Review · 1955 · 637 citations
1–5 of 796
3.5K
13
h-index
11
h-index
10
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10
h-index
10
h-index
1–5 of 3.5K
1.1K
Stanford University
Stanford, United States
24 h-index
114 publications
16.6K citations
Harvard University
Cambridge, United States
21 h-index
71 publications
13.6K citations
University of Utah
Salt Lake City, United States
16 h-index
38 publications
2.8K citations

Zhejiang University
Hangzhou, China
15 h-index
78 publications
4K citations

Johns Hopkins University
Baltimore, United States
14 h-index
31 publications
1.7K citations
University College London
London, United Kingdom
13 h-index
31 publications
2.6K citations
Mayo Clinic in Florida
Jacksonville, United States
13 h-index
56 publications
2.3K citations
Massachusetts General Hospital
Boston, United States
13 h-index
31 publications
6K citations
1–8 of 1.1K
Repository · 77 publications · 3K citations
29
h-index
JAMIA · 43 publications · 2.9K citations
28
h-index
47 publications · 2.4K citations
28
h-index
23 publications · 1.5K citations
18
h-index
AIM · 21 publications · 1.2K citations
16
h-index
1–5