Variational Quantum Classifier-based early identification and classification of chronic kidney disease using Sparse autoencoder and Lasso Shrinkage

The dataset used in this project includes patient data relevant to the identification of chronic kidney disease, including features such as: Age Blood pressure Specific blood markers (e.g., creatinine, hemoglobin) Glomerular filtration rate (GFR) Other medical attributes used for diagnosing CKD File structure of the dataset: chronic_kidney_disease.csv: Contains the labeled medical data for CKD classification.