Decision Support Personalization
Decision Support Personalization is a computational framework within clinical decision support systems that tailors medical recommendations to individual patients by integrating patient-specific data with evidence-based guidelines, thereby differentiating itself from generalized decision support through its focus on personalization at the individual level.
39
Publications
2.2K
Citations
245
Authors
138
Institutions
Publications per year
2017–2026
17
39
Towards Health (Aware) Recommender Systems
Hanna Schäfer, Santiago Hors-Fraile, Raghav Pavan Karumur et al. · 2017 · 139 citations
1–5 of 39
245
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 245
138
Lviv Polytechnic National University
Lviv, Ukraine
2 h-index
4 publications
60 citations
Columbia University
New York, United States
2 h-index
11 publications
197 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
8 publications
247 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
330 citations
Technische Universität Dresden
Dresden, Germany
2 h-index
4 publications
582 citations
University of Oxford
Oxford, United Kingdom
2 h-index
10 publications
656 citations
University of Haifa
Haifa, Israel
2 h-index
4 publications
80 citations
Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
2 publications
52 citations
1–8 of 138
2 publications · 202 citations
2
h-index
2 publications · 79 citations
2
h-index
2 publications · 44 citations
2
h-index
2 publications · 259 citations
2
h-index
1 publications · 12 citations
1
h-index
1–5