HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION

HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION

The number of claims plays an important role the profit achievement of health insurance companies. Prediction of the number of claims could give the significant implications in the profit margins generated by the health insurance company. Therefore, the prediction of claim submission by insurance use...

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Bibliographic Details
Main Authors: Syaiful Anam, M. Rafael Andika Putra, Zuraidah Fitriah, Indah Yanti, Noor Hidayat, Dwi Mifta Mahanani
Format: Article
Language:English
Published: Universitas Pattimura 2023-06-01
Series:Barekeng
Subjects:
health insurance
claim prediction
support vector machine
particle swarm optimization
parameter’s selection
global optimum
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7788
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7788

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