An implementation of a system that classifies the health status of a subject with some success rate for Coronary Heart Disease presence is presented. The system is based on an Soft-Computing Technique (Artificial Neural Network) supported on some clinical parameters that allow to classify patient's health between two categories: healthy or sick. A 94.2% of accuracy in a correct health status classification was acquired. This shows a tool that can assist medical personnel in Coronary Heart Disease diagnosis.
