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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