Medication for the correct patient

"Medication for the Correct Patient" is a project that utilizes a decision tree algorithm to predict the most suitable medication for a patient based on various input data, including age, sex, blood pressure, and cholesterol levels. The goal of this project is to assist healthcare professionals in making informed decisions about prescribing medications tailored to individual patients' characteristics. The decision tree algorithm analyzes the provided data and creates a hierarchical structure of decision nodes, where each node represents a feature or attribute. The algorithm makes splits in the tree based on the most discriminative features, creating branches that lead to different medication recommendations. The decision nodes contain conditions that determine which path to follow based on the patient's data.