Health insurance risk classification using multinomial logistic regression
In a health insurance portfolio, not all policyholders possess similar risk levels; specific individuals exhibit higher risk than others. Consequently, it might appear inequitable to impose the same premium on everyone. This diversity can be mitigated by employing risk categories that exhibit great...
| Published in: | International Journal of Computer Engineering and Data Science |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Cadi Ayyad University
2023-08-01
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| Subjects: | |
| Online Access: | https://mail.ijceds.com/ijceds/article/view/54 |