Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset. [PDF]
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies.
Alomair G.
europepmc +3 more sources
Automobile insurance fraud detection using data mining: A systematic literature review
Insurance is a pivotal element in modern society, but insurers face a persistent challenge from fraudulent behaviour performed by policyholders. This behaviour could be detrimental to both insurance companies and their honest customers, but the intricate
Dipti Kapoor Sarmah, Mohammed El-Hajj
exaly +4 more sources
Hospital characteristics related to the hospital length of stay among inpatients receiving invasive cervical discectomy due to road traffic accidents under automobile insurance in South Korea. [PDF]
Background In South Korea, people injured in road traffic accidents receive compensation for medical costs through their automobile insurance. However, the automobile insurance system appears to manage health care inefficiently.
Shin KW +4 more
europepmc +2 more sources
Regional risk classification in emerging automobile insurance markets using Bayesian Hurdle models [PDF]
Accurate risk classification in automobile insurance claim frequency in emerging markets remains a critical challenge for actuarial practice and regulatory oversight.
Laurent L. Lulu +2 more
doaj +2 more sources
Introduction. In the field of auto insurance, there is a significant problem such as the long downtime of cars undergoing repairs because of the delays while approving the volume and cost of repairs between the automobile service centers and the ...
S. A. Buraga, I. E. Agureev
doaj +2 more sources
Optimal Market Share in Automobile Insurance Auction Markets [PDF]
The automobile insurance industry plays a pivotal role in the financial system, fostering economic stability through effective risk management and consumer confidence.
Manuel Rodriguez +4 more
doaj +2 more sources
Dynamic Pricing Models for Automobile Insurance [PDF]
The accurate pricing of automobile insurance remains a critical challenge, particularly in markets where traditional models fail to capture risk heterogeneity.
Lynda Ait Bachir +2 more
doaj +2 more sources
Loss data may often exhibit features such as multimodality and skewness that render single distributions incapable of capturing all these features. Insurance data often comprise of extremely large losses, of which single distributions may inadequately ...
Williams Kumi +3 more
doaj +2 more sources
A multimodal approach for assessing the risk of cervical spine injury in low-speed rear-end collisions: kinematic and clinical responses. [PDF]
PurposeWhile advancements in vehicle safety have reduced injury severity in low-speed collisions, concerns about excessive treatment costs and the social implications of minor collisions persist. Cervical spine injuries, in particular, remain challenging
Lee HY +7 more
europepmc +2 more sources
Detecting automobile insurance fraud using a novel penalty-driven feature selection method with particle swarm optimization and machine learning classifiers. [PDF]
Özaltın Ö, Erdemir ÖK.
europepmc +3 more sources

