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

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/13751241
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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.
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2024-09-12
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