Machine Learning Underwriting
Machine Learning Underwriting is a computational underwriting framework that employs machine learning algorithms to automate and refine risk assessment in property insurance by identifying complex, non-linear patterns in heterogeneous data sources, thereby distinguishing it from traditional rule-based or statistical underwriting models.
16
Publications
407
Citations
27
Authors
27
Institutions
Publications per year
2017–2026
12
16
Rise of the Machines: The Impact of Automated Underwriting
Mark Jansen, Hieu Nguyen, Amin Shams · Management Science · 2024 · 38 citations
The application of machine learning algorithm in underwriting process
Yi Tan, Guoji Zhang · 2005 · 33 citations
Business, Data Science, Insurance +17
Automating the underwriting of insurance applications
Kareem S. Aggour, William Cheetham · 2005 · 22 citations
1–5 of 16
27
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 27
27
University of Utah
Salt Lake City, United States
2 h-index
2 publications
49 citations
Fisher College
Boston, United States
2 h-index
2 publications
49 citations

Macquarie University
Sydney, Australia
2 h-index
2 publications
49 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
49 citations
Institute of Law
Beijing, China
1 h-index
2 publications
44 citations
Ball State University
Muncie, United States
1 h-index
1 publications
15 citations
BIVŠ Vysoká škola v Praze a v Brně
Prague, Czechia
1 h-index
1 publications
22 citations

Providence College
Providence, United States
1 h-index
3 publications
318 citations
1–8 of 27
Repository · 2 publications · 33 citations
2
h-index
1 publications · 38 citations
1
h-index
1 publications · 19 citations
1
h-index
JRFM · 1 publications · 38 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5