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

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