Prediction of insurance membership retention rates using machine learning: a case study of Tanzania’s improved community health insurance fund (iCHF)
Abstract Introduction Developing countries like Tanzania rely heavily on out-of-pocket (OOP) payments to finance health. Unfortunately, these OOP payments often expose patients to catastrophic health expenditures (CHE), which hinders progress toward universal health coverage (UHC). Tanzania introduc...
Na minha lista:
| Principais autores: | , , , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Nature
2026-03-01
|
| coleção: | Discover Health Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44250-026-00358-3 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|