Diabetic 11.7z -

Identify which clinical variables (e.g., HbA1c levels, BMI, blood pressure) are the strongest predictors of long-term complications within the 11-point data structure.

Compare Random Forests, Gradient Boosting (XGBoost), and LSTM networks for classification accuracy. 3. Methodology Diabetic 11.7z

Creating "delta" features that represent the change in health markers between the 11 recorded points. Identify which clinical variables (e

Analyze how patient health degrades or improves over the 11 recorded phases. Identify which clinical variables (e.g.