Dec 3, 2023 · This study focuses on Chronic Kidney Disease prediction within 6 or 12 months earlier based on medication, demographic, and comorbidity data from patients using the Deep Ensemble algorithm, which is considered a breakthrough in the scientific field.

Doctors face a difficult task in diagnosing the different diseases linked to CKD at an early stage in order to prevent the disease. This research presents a novel deep learning model for the early detection and prediction of CKD.

Apr 3, 2024 · We bridge the gap between existing detection methods and preventive interventions by: developing and comparing deep learning models like CNN, LSTM, and LSTM-BLSTM for 6–12 month CKD prediction; addressing data imbalance, feature selection, and optimizer optimization; and building an ensemble model combining the best individual models (CNN-Adamax...

The following machine learning models were developed for the goal of making a diagnosis of chronic kidney disease (CKD). Each model was produced by applying the matching subset of features or predictors to the whole CKD datasets.

We present a machine learning framework for diagnosing CKD in this paper. The CKD data set was collected from the machine learning repository at the University of California, Irvine (UCI). As a result, it will determine whether or not a patient has CKD and, if so, whether or not further drugs should be taken.

Early identification and prediction of CKD progression are essential for timely intervention and effective management to mitigate adverse outcomes such as end-stage renal disease and cardiovascular complications.

Apr 25, 2025 · Chronic kidney disease (CKD), which has a high incidence and frequently gets diagnosed late, leads to decreased treatment efficacy and rapid progression to renal failure. ... The proposed Model Block Diagram is depicted in Fig. ... S., et al.: Comprehensive performance assessment of deep learning models in early prediction and risk ...

Chronic Kidney Disease (CKD) is a global health issue and symptoms are not always visible at the early stage. Deep learning techniques can be developed to deter.

Jun 23, 2023 · Our progressive CKD classifier accurately predicts significant eGFR decline in patients with early, mid, and advanced disease using readily obtainable laboratory data.

Dec 1, 2023 · Therefore, the contribution of the current paper is proposing three predictive models to predict CKD possible occurrence within 6 or 12 months before disease existence namely; convolutional neural network (CNN), long short-term memory (LSTM) model, …