Decision Support Analytics
Decision Support Analytics is a branch of data analytics that employs statistical, computational, and machine learning methods to transform health, nursing, and clinical data into actionable insights, thereby enabling evidence-based, timely, and patient-centered clinical and operational decisions.
1.6K
Publications
87.1K
Citations
12.9K
Authors
2.5K
Institutions
Publications per year
2017–2026
1.2K
1.6K
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Stephen Weng, Jenna Reps, Joe Kai et al. · PLoS ONE · 2017 · 1.3K citations · Full text
An interpretable mortality prediction model for COVID-19 patients
Yan Li, Jorge Gonçalves, Yang Xiao et al. · Nature Machine Intelligence · 2020 · 1K citations · Full text
1–5 of 1.6K
12.9K
11
h-index
10
h-index
Massachusetts Institute of Technology, United States
10 publications · 770 citations
10
h-index
University of California, Los Angeles, United States
8 publications · 421 citations
8
h-index
8
h-index
1–5 of 12.9K
2.5K
Harvard University
Cambridge, United States
36 h-index
188 publications
19.6K citations
Massachusetts General Hospital
Boston, United States
27 h-index
137 publications
10.1K citations
Massachusetts Institute of Technology
Cambridge, United States
24 h-index
63 publications
4.4K citations
Stanford University
Stanford, United States
23 h-index
115 publications
6.9K citations

Brigham and Women's Hospital
Boston, United States
20 h-index
66 publications
6.4K citations
University of Michigan
Ann Arbor, United States
18 h-index
83 publications
4.5K citations
University of Pittsburgh
Pittsburgh, United States
18 h-index
51 publications
2.5K citations

University of Toronto
Toronto, Canada
18 h-index
80 publications
4.4K citations
1–8 of 2.5K
Repository · 54 publications · 1.5K citations
25
h-index
39 publications · 1.4K citations
25
h-index
JAMIA · 30 publications · 2.1K citations
22
h-index
31 publications · 3K citations
20
h-index
21 publications · 1.2K citations
18
h-index
1–5