This study develops an interpretable machine learning framework for type 1 motor insurance renewal classification using 70,290 real-world Thai policies, providing essential insights for pricing, customer retention, and operational decision making. The dataset was partitioned into a 70% training...

Insurance fraud detection is a significant problem in the insurance industry, producing immeasurable losses. Conventional insurance fraud detection models depend heavily on experts' knowledge, and accurately estimating fraud when the data and the claim data are enormous is a complex and...

Healthcare cost acceleration and resource allocation issues have worsened across European health systems, where a small group of patients drives excessive healthcare spending. The prediction of high-cost utilization patterns is important for the sustainable management of healthcare and focused...