A hybrid model based on CNN-LSTM for assessing the risk of increasing claims in insurance companies

A hybrid model based on CNN-LSTM for assessing the risk of increasing claims in insurance companies

This article proposes a hybrid model to assist insurance companies accurately assess the risk of increasing claims for their premiums. The model integrates long short-term memory (LSTM) networks and convolutional neural networks (CNN) to analyze historical claim data and identify emerging risk trend...

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Bibliographic Details
Main Authors: Walaa Gamaleldin, Osama Attayyib, Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Ruixing Ming
Format: Article
Language:English
Published: PeerJ Inc. 2025-04-01
Series:PeerJ Computer Science
Subjects:
Machine learning
Deep learning
CNN-LSTM
Claims
Premiums
Measuring risk
Online Access:https://peerj.com/articles/cs-2830.pdf
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