Predictive Claims Modeling
Predictive Claims Modeling is a computational analytics framework within health insurance analytics that employs statistical and machine learning techniques to forecast the likelihood, cost, or risk profile of future insurance claims based on historical claims and patient data.
78
Publications
2.9K
Citations
321
Authors
160
Institutions
Publications per year
2017–2026
42
78
Predicting Initial Claims for Unemployment Benefits
Hyunyoung Choi · SSRN Electronic Journal · 2009 · 206 citations · Full text
1–5 of 78
321
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The University of Texas Southwestern Medical Center, United States
2 publications · 65 citations
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2
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1–5 of 321
160
ETH Zurich
Zurich, Switzerland
5 h-index
6 publications
306 citations

University of Maryland, Baltimore
Baltimore, United States
2 h-index
2 publications
40 citations
Universität Hamburg
Hamburg, Germany
2 h-index
3 publications
100 citations

Wilmington University
New Castle, United States
2 h-index
9 publications
177 citations

Stockholm University
Stockholm, Sweden
2 h-index
2 publications
35 citations
Wayne State University
Detroit, United States
2 h-index
3 publications
131 citations
Yale University
New Haven, United States
2 h-index
2 publications
47 citations
The University of Tokyo
Tokyo, Japan
2 h-index
4 publications
78 citations
1–8 of 160
4 publications · 75 citations
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Repository · 3 publications · 61 citations
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3 publications · 156 citations
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3 publications · 183 citations
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Repository · 3 publications · 271 citations
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