Neural Network Model of Pricing Health Care Insurance
classification
📊 stat.AP
keywords
modelhealthnetworkneuralinsurancemethodpricingproblem
read the original abstract
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.
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