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A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Machine Learning Methodology for Diagnosing Chronic Kidney Disease
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Comprehensive Performance Assessment of Deep Learning Models in Early Prediction and Risk Identification of Chronic Kidney Disease
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Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening
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inferred← citeshttps://doi.org/10.23876/j.krcp.25.046openalex-snapshot
Statistical consideration in nephrology research
inferred← citeshttps://doi.org/10.2478/ijssis-2026-0013openalex-snapshot
A PRISMA-based Comparative Analysis of Machine Learning Techniques in Diagnosing Electrocardiogram, Diabetes, Chronic Kidney Disease, and Breast Cancer
inferred← citeshttps://doi.org/10.25130/tjes.32.4.25openalex-snapshot
Truck Accident Prediction and Risk Factors Analysis in Jordan: A Machine Learning Approach
inferred← citeshttps://doi.org/10.31893/multirev.2026039openalex-snapshot
Early diagnosis for the bacterial infections for the patients under the medical intervention of Automated Peritoneal Dialysis using machine learning techniques
inferred← citeshttps://doi.org/10.33168/jsms.2023.0425openalex-snapshot
Machine Learning Approaches for Precision Medicine: A Review
inferred← citeshttps://doi.org/10.3389/fendo.2023.1050078openalex-snapshot
Machine learning-based multimodal MRI texture analysis for assessing renal function and fibrosis in diabetic nephropathy: a retrospective study
inferred← citeshttps://doi.org/10.3390/app13127254openalex-snapshot
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
inferred← citeshttps://doi.org/10.3390/bioengineering13040374openalex-snapshot
Dual-SwinOrd: A Dual-Head Swin Transformer with Semantic Prior Injection for Ordinal Diabetic Retinopathy Grading
inferred← citeshttps://doi.org/10.3390/diagnostics12102454openalex-snapshot
Machine Learning Models for the Prediction of Renal Failure in Chronic Kidney Disease: A Retrospective Cohort Study
inferred← citeshttps://doi.org/10.3390/diagnostics12123157openalex-snapshot
Identifying Patients at Risk of Acute Kidney Injury among Patients Receiving Immune Checkpoint Inhibitors: A Machine Learning Approach
inferred← citeshttps://doi.org/10.3390/diagnostics14080825openalex-snapshot
Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b
inferred← citeshttps://doi.org/10.3390/electronics12132875openalex-snapshot
Dynamic End-to-End Information Cascade Prediction Based on Neural Networks and Snapshot Capture
inferred← citeshttps://doi.org/10.3390/math13172726openalex-snapshot
Bayesian Optimization Meets Explainable AI: Enhanced Chronic Kidney Disease Risk Assessment
inferred← citeshttps://doi.org/10.3390/pr11030734openalex-snapshot
Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease
inferred← citeshttps://doi.org/10.3390/s23063054openalex-snapshot
Dynamic Service Function Chain Deployment and Readjustment Method Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/sci8040068openalex-snapshot
Review on Exploring Machine Learning Classifiers in the Diagnosis of Chronic Kidney Disease
inferred← citeshttps://doi.org/10.36948/ijfmr.2023.v05i05.6459openalex-snapshot
Chronic Kidney Disease Prediction Using Machine Learning
inferred← citeshttps://doi.org/10.37648/ijrmst.v18i01.004openalex-snapshot
Employability Of The Machine Learning Tools And Techniques In The Early Detection And Diagnosis Of Chronic Kidney Disease
inferred← citeshttps://doi.org/10.4108/eetiot.5325openalex-snapshot
A Comparative Analysis of Machine Learning and Deep Learning Approaches for Prediction of Chronic Kidney Disease Progression
inferred← citeshttps://doi.org/10.54254/2755-2721/17/20230921openalex-snapshot
Prediction of chronic kidney disease from 25 clinical features using machine learning
inferred← citeshttps://doi.org/10.5755/j01.itc.52.4.34233openalex-snapshot
Chronic Kidney Disease Diagnosis Using Conditional Variational Generative Adversarial Networks and Squirrel Search Algorithm
inferred← citeshttps://doi.org/10.6000/1929-6029.2025.14.11openalex-snapshot
Chronic kidney Disease Classification through Hybrid Feature Selection and Ensemble Deep Learning
inferred← citeshttps://doi.org/10.62527/joiv.8.2.2277openalex-snapshot
Detecting Need-Attention Patients using Machine Learning
inferred← citeshttps://doi.org/10.7717/peerj-cs.2467openalex-snapshot
Novel statistically equivalent signature-based hybrid feature selection and ensemble deep learning LSTM and GRU for chronic kidney disease classification
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