To pricing health insurance plan, statisticians use mathematical models to predict customers' future health condition. General Addictive Model (GAM) is a wide accepted method for this problem. However, it have several limitations. To solve this problem, a new method named neural network model is implemented. Compare with GAM model, neural network provide a more accurate predicting result.
@article{arxiv.1307.6290,
title = {Neural Network Model of Pricing Health Care Insurance},
author = {Guanxi Zhuang},
journal= {arXiv preprint arXiv:1307.6290},
year = {2013}
}