Presenting a linear regression model to predict the Charges of insurance in the health sector: a comprehensive approach

Insurance companies and the healthcare industry are closely related, and these two fields deal with a lot of data, which results from customer information analysis is helpful to these companies. Machine learning (ML) and data analysis have become a popular research topic because of their importance to insurance companies and the healthcare industry, especially since computer systems have made significant progress in recent years.In this research, a simple regression model was built using the insurance dataset to predict charges with features such as age, number of children, and so on. In the following steps, this model is further developed and other machine learning approaches such as Random Forest are used.The result compares the models and helps to find the best model for insurance cost prediction. The results can be used for decision making and help to find out which feature most affects the insurance cost.

کلیدواژه ها:

Health Insurance ، Cost prediction ، Health Care ، Data Mining ، Regression ، Random Forest