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Insurance

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Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset.

PloS one
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies. Traditional methods typically rely on a Poisson distribution for modeling claim counts; ...

The ontology of medically related social entities: recent developments.

Journal of biomedical semantics
BACKGROUND: The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is built upon the Basic Formal Onto...

Security Evaluation of Financial and Insurance and Ruin Probability Analysis Integrating Deep Learning Models.

Computational intelligence and neuroscience
To ensure safe development of the financial and insurance industry and promote the continuous growth of the social economy, the theory and its role of deep learning are firstly analyzed. Secondly, the security of financial and insurance and bankruptc...

Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology.

International journal of environmental research and public health
The development potential of China's medical insurance market is huge, and the research on medical insurance demand has always been the focus of academic discussions. As a result, the discipline of behavioral economics is derived, which aims to expla...