如何避免健康保险/计划的客户流失?机器学习方法

Proceedings. IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2019-06-01 DOI:10.1109/CBMS.2019.00115

Jefferson Henrique Camelo Soares, J. L. N. Barbosa, L. A. Lopes, Gilvan Veras Magalhães Júnior, R. Rabêlo, E. Passos, P. S. Neto

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引用次数: 0

摘要

在健康计划中，受益人可以随时取消合同。因此，健康保险/计划提供商(HIP)需要避免选择性的合同取消，以保持其财务运营稳定。本工作的主要目的是开发一种方法来预测私人HIP中的可选合同取消，并帮助他们防止这些取消。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How to Avoid Customer Churn in Health Insurance/Plans? A Machine Learn Approach

In a Health Plan, beneficiaries can cancel their contracts at any given time. For that reason, Health Insurance/Plan Providers (HIP) need to avoid optional contract cancellations to keep their financial operations stable. This work's main purpose is to develop an approach to predict the optional contract cancellation in a Private HIP and help them to prevent those cancelations.

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Proceedings. IEEE International Symposium on Computer-Based Medical Systems

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