Predicting the necisity of oxygen therapy in chronic obstructive pulmonary disease

The primary objective of the Ground Water Level Predictor is to forecast future groundwater availability based on the analysis of historical data and environmental variables. The system will utilize machine learning algorithms such as Random Forest, Gradient Boosting Regressor, and The primary objective of this project is to develop a machine learning-based system that predicts the necessity of oxygen therapy in patients with Chronic Obstructive Pulmonary Disease (COPD)