Mobile App development using AI and ML
Feature Engineering
• Features related to claim insurance with excellent performance in the classification of automatic payment, review, and investigation.
• Features that calculated the difference between the average billing amount by hospital and disease and each individual's billing amount play an important role.
Modeling :
• Three model ensembles with different random states set to complement the characteristics of extra trees with high randomness and increase stability.
• use of KNN, a case-based model
• a two-stage model was devised to classify automatic payment first, then review and investigation.
Evaluate the adequacy of insurance claims and propose recommendation services through customer type
• customer segmentation strategies and utilization plans were presented in the model
• cluster-based collaborative filtering, for disease prediction model based on the similarity of the customer's disease in the cluster.
Customer satisfaction analysis of All insurance company