**2. Materials and Methods**

Classification and regression are supervised machine learning algorithms used for accurate assessments and instructions. For classification and regression, the process includes the following steps: data collection, preprocessing, data visualization, model training, testing, and evaluating. The research discusses the target population, study sample, and at-risk population. The study does not predict any new risk factors. The sample data focus on the population from the ages >20 to <60, excluding pregnancy and genetic factors.
