Predictive modeling in healthcare continues to be an active actuarial research topic as more
insurance companies aim to maximize the potential of Machine Learning (ML) approaches …

Medical costs are one of the most common recurring expenses in a person's life. Based on
different research studies, BMI, ageing, smoking, and other factors are all related to greater …

In the domains of computational and applied mathematics, soft computing, fuzzy logic, and
machine learning (ML) are well‐known research areas. ML is one of the computational …

With the widespread deployment of large-scale prediction systems in high-stakes domains,
eg, face recognition, criminal justice, etc., disparity on prediction accuracy between different …

Very often, due to some accidental reasons, a person undergoes medical treatment, and
being a part of an organization, he has the facility to claim the insurance money. So, does a …

This study presents an analysis of health insurance premiums across various customer
segments. Specifically, it aims to identify the factors influencing the pricing of health …

Generally, health care costs from chronic diseases have positive skew and this gives
problems on using traditional statistical models. Machine learning is a conventional method …

Deep learning has recently appeared as one of the best reliable approaches for forecasting
time series. Even though there are numerous data-driven models for flood prediction, most …

The study aimed to evaluate the regression models' performance in predicting the cost of
medical insurance. The Three (3) Regression Models in Machine Learning namely Linear …

Medical Insurance cost prediction is prime distress. A Medical Insurance company can only
make money if it collects quite it spends on the medical aid of its beneficiaries. Medical …