Research on Medical Insurance Cost Prediction based on Machine Learning Model
This study aims to utilize machine learning models to predict medical insurance costs. As a prepayment and risk-sharing mechanism, medical insurance plays a significant role in ensuring the health security of individuals and society. However, the factors influencing medical insurance costs are complex and diverse, making accurate prediction a challenge. With the accumulation of medical insurance big data and the development of digital technology, the application of machine learning in predicting medical insurance costs has gradually attracted attention. This study aims to establish machine learning models to identify key factors from historical data and construct models capable of predicting future costs. Through the final results, it provides decision support for policymakers and helps individuals make more informed medical consumption decisions.
Key words: Medical insurance cost Machine learning Prediction model
