Detalhes bibliográficos
| Resumo: | Plano +CUF is a subscription-based healthcare plan created by CUF Hospitais e Clínicas. The goal of this project is to create a model to predict client churn from this healthcare plan. A reliable predictive model can help CUF create actions to prevent churn and avoid clients from abandoning the service. If these actions are effective, then CUF can retain clients and prevent a potential loss. From model results and feature importance analysis, many “churning” clients could be detected and the main indicator that a client is going to churn is when it stops using the plan and its benefits. |
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| Autores principais: | Cunha, António Templer da |
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| Assunto: | Churn Machine learning Predictive model Healthcare Subscription-based |
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| Ano: | 2024 |
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| País: | Portugal |
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| Tipo de documento: | dissertação de mestrado |
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| Tipo de acesso: | acesso embargado |
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| Instituição associada: | Universidade Nova de Lisboa |
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| Idioma: | inglês |
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| Origem: | Repositório Institucional da UNL |
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