Prediction of Chronic Kidney Disease Using Deep Learning |
Author(s): |
| Bibek Kumar Gupta , Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Diwas Bhattarai, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Dipendra Yadav, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology; Dr. R Kanchana, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology |
Keywords: |
| Chronic Kidney Disease (CKD), Machine Learning, Data Preprocessing, Neural Network, Model Evaluation, Early Detection, Intervention, Healthcare Optimization |
Abstract |
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Prediction of Chronic Kidney Disease(CKD) using deep learning introduces a method to predict CKD using advanced machine learning techniques. The method involves four main steps: creating a data dictionary for preprocessing, building a neural network model, evaluating model performance, and predicting CKD onset or progression. By combining data preprocessing, model building, and performance evaluation, the proposed method offers a robust approach to improve CKD prediction accuracy. The study highlights the potential clinical impact of early CKD detection and intervention, leading to better patient outcomes and healthcare resource optimization. |
Other Details |
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Paper ID: IJSRDV12I20172 Published in: Volume : 12, Issue : 2 Publication Date: 01/05/2024 Page(s): 111-117 |
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