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Prediction of Chronic Kidney Disease - A Machine Learning Perspective
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11255-016-1346-4openalex-snapshot
Clinical risk assessment of patients with chronic kidney disease by using clinical data and multivariate models
inferredcites →https://doi.org/10.1016/j.future.2020.04.036openalex-snapshot
Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network
inferredcites →https://doi.org/10.1016/j.protcy.2012.02.068openalex-snapshot
A comparative study on the effect of feature selection on classification accuracy
inferredcites →https://doi.org/10.1016/s2212-5671(16)30310-0openalex-snapshot
The Logistic Lasso and Ridge Regression in Predicting Corporate Failure
inferredcites →https://doi.org/10.1053/j.ajkd.2009.04.029openalex-snapshot
Proteinuria as a Surrogate Outcome in CKD: Report of a Scientific Workshop Sponsored by the National Kidney Foundation and the US Food and Drug Administration
inferredcites →https://doi.org/10.1088/1757-899x/392/6/062202openalex-snapshot
Research on Application of Machine Learning in Data Mining
inferredcites →https://doi.org/10.1097/01.asn.0000095249.99803.85openalex-snapshot
Risk Factors for Chronic Kidney Disease
inferredcites →https://doi.org/10.1109/access.2019.2948430openalex-snapshot
Explainable Prediction of Chronic Renal Disease in the Colombian Population Using Neural Networks and Case-Based Reasoning
inferredcites →https://doi.org/10.1109/access.2019.2963053openalex-snapshot
A Machine Learning Methodology for Diagnosing Chronic Kidney Disease
inferredcites →https://doi.org/10.1109/bibe.2017.00-39openalex-snapshot
Performance Evaluation on Machine Learning Classification Techniques for Disease Classification and Forecasting through Data Analytics for Chronic Kidney Disease (CKD)
inferredcites →https://doi.org/10.1109/icaict.2018.8747140openalex-snapshot
Analysis of Chronic Kidney Disease Dataset by Applying Machine Learning Methods
inferredcites →https://doi.org/10.1155/2018/2520706openalex-snapshot
Integrating Correlation‐Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis
inferredcites →https://doi.org/10.1186/1471-2458-8-117openalex-snapshot
Prevalence of chronic kidney disease in population-based studies: Systematic review
inferredcites →https://doi.org/10.1186/2047-1440-2-s1-s1openalex-snapshot
What are the key challenges we face in kidney transplantation today?
inferredcites →https://doi.org/10.1186/s12967-019-1860-0openalex-snapshot
Comparison and development of machine learning tools in the prediction of chronic kidney disease progression
inferredcites →https://doi.org/10.1371/journal.pone.0224889openalex-snapshot
Incidence of chronic kidney disease hospitalisations and mortality in Espírito Santo between 1996 to 2017
inferredcites →https://doi.org/10.14569/ijacsa.2019.0100813openalex-snapshot
Detection of Chronic Kidney Disease using Machine Learning Algorithms with Least Number of Predictors
inferredcites →https://doi.org/10.1681/asn.2010101085openalex-snapshot
Albuminuria and Racial Disparities in the Risk for ESRD
inferredcites →https://doi.org/10.17485/ijst/2016/v9i29/93880openalex-snapshot
Applying Machine Learning Techniques for Predicting the Risk of Chronic Kidney Disease
inferredcites →https://doi.org/10.17577/ijertv9is070092openalex-snapshot
Chronic Kidney Disease Prediction using Machine Learning
inferredcites →https://doi.org/10.2139/ssrn.3167431openalex-snapshot
Disease Prediction Using Machine Learning
inferredcites →https://doi.org/10.2139/ssrn.4022160openalex-snapshot
Prediction of Chronic Kidney Disease Using Data Mining Techniques
inferredcites →https://doi.org/10.3233/jifs-200075openalex-snapshot
Recognition of the parkinson’s disease using a hybrid feature selection approach
inferredcites →https://doi.org/10.3390/s20092649openalex-snapshot
Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data
inferredcites →https://doi.org/10.48550/arxiv.1806.00388openalex-snapshot
A Review of Challenges and Opportunities in Machine Learning for Health
inferredcites →https://doi.org/10.5001/omj.2012.23openalex-snapshot
Estimated Glomerular Filtration Rate (eGFR): A Serum Creatinine-Based Test for the Detection of Chronic Kidney Disease and its Impact on Clinical Practice
inferredcites →https://doi.org/10.5001/omj.2012.87openalex-snapshot
Estimated Glomerular Filtration rate (eGFR): A Serum Creatinine-based Test for the Detection of Chronic Kidney Disease and its Impact on Clinical Practice
inferredcites →https://doi.org/10.5281/zenodo.3965802openalex-snapshot
Analysis and Prediction of Chronic Kidney Disease
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Early Prediction of Renal Replacement Therapy Requirement During Icu Stay
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Literature Review on Disease Diagnosis of Kidney, Heart, Lung and Brain using AI
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Predicting the Risk of Chronic Kidney Disease Using Machine Learning
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Convolutional Neural Network for Automatic Classification and Segmentation of Medical Images
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Ebola deep wavelet extreme learning machine based chronic kidney disease prediction on the internet of medical things platform
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Use of the Method of Setting the Interval Target in the Problem of Synthesis of a Neural Network Classifier for Diagnosing Chronic Kidney Disease in Patients
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Enhanced Prediction of Chronic Kidney Disease Using Feature Selection and Boosted Classifiers
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Survey on IoMT: Amalgamation of Technologies-Wearable Body Sensor Network, Wearable Biosensors, ML and DL in IoMT
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A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney Diseases
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Efficient Chronic Kidney Disease Prediction: A Comparative Analysis Using Feature Selection and Machine Learning Models
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The Impact of Machine Learning on Chronic Kidney Disease: Analysis and Insights
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Deploying Hybrid VGG19-BiGRU Model for Kidney Disease Segmentation
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Multi-stage Chronic Kidney Disease Classification on Longitudinal Data
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Novel Systems Based on Artificial Intelligence and Numerical Algorithms for Predicting Laboratory Results: A Comparative Study of Original Automatic Prediction Model with Advances in the Field
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Machine Learning Approaches for Evaluation of Chronic Kidney Disease
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Predictive Modeling of Chronic Kidney Disease with Ensemble Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-031-90271-0_35openalex-snapshot
Enhancing Chronic Kidney Disease Diagnosis Using Machine Learning Algorithms
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Deciphering Chronic Kidney Disease Diagnosis: A Comparative Exploration of Computational Approaches with LIME and SHAP Interpretation
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Comparative Analysis of Machine Learning Techniques for Chronic Kidney Disease Prediction Efficiency
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From Mutual Neighbors to Genetic Optimization: Advancing KNN for Chronic Kidney Disease Detection
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Enhancing Chronic Kidney Disease Prediction Using Explainable Machine Learning Models
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CNN-Based Deep Learning Model for Kidney Stone Prediction Using CT Scan Images
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A Novel Hybrid Ensemble Pipeline Using Optical Character Recognition to Classify Chronic Kidney Disease Risks from Online Patient Data
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Improving Chronic Kidney Disease Diagnosis Through Machine Learning and Boruta Feature Selection
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Explainable AI-Driven Early Detection of Chronic Kidney Disease Using a Hybrid SqueezeNet-SVM Model
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TabNet–Transformer Architecture for Reliable Early Risk Prediction of Chronic Kidney Disease
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A Semi-supervised Genetic Feature Selection Framework for Enhanced Prediction of Chronic Kidney Disease
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A Comparative Review of Support Vector Machines and Neural Networks for Early Prediction of Chronic Kidney Disease
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Interpretable Machine Learning for Chronic Kidney Disease (CKD) Screening: A Clinically Safe Approach to Minimize False Negatives
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Random Oversampled Sequential CNN with Feature Significance for Predicting Kidney Disease
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Revolutionizing Chronic Kidney Disease Detection System Through Machine Learning and Client–Server Integration
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Comparative Analysis of Supervised Machine Learning Algorithms for Predicting Chronic Kidney Diseases
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Elevating Kidney Disease Classification: Up-Sampling, and Dimensionality Reduction Magic
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Develop a Prognostication System for Chronic Kidney Disease Using a Comparative Analysis of Diverse Machine Learning Classifiers
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Quantum-Enhanced SVM for Chronic Kidney Disease Prediction
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Predicting Chronic Kidney Disease Stages Through Ensemble Machine Learning Techniques
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An Empirical Review of Different Machine Learning Techniques to Predict Chronic Kidney Disease
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HDLNET: A Hybrid Deep Learning Network Model With Intelligent IOT for Detection and Classification of Chronic Kidney Disease
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Integrating Innovation in Healthcare: The Evolution of “CURA’s” AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring
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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease
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EfficientNetB7-Based Deep Learning Model for Automated Kidney Disease Detection Using Medical Imaging
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Analysis of Machine Learning Algorithms in Predicting Chronic Kidney Diseases Based on Performance: A Systematic Literature Review
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Inductive Multivariate Convolution Neural Network Towards Early Diagnosis and Classification of Chronic Kidney Disease
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Performance Analysis of Kidney Disease Prediction Using Machine Learning Classification Algorithms and Ensemble Techniques
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Integrating Ensemble and Classical ML Models for Predicting CKD
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Survival Forecasting of Breast Cancer Patients Using Advanced Machine Learning Approaches
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Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier
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Prediction of Chemotherapy-Induced Neutropenia using Machine Learning in Cancer Patients
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Enhancing Chronic Kidney Disease Prediction Through Explainable AI: A Hybrid SHAP–LIME Model Tuned with RandomizedSearchCV
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Chronic Kidney Disease Prediction Using Robust Approach in Machine Learning
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ML-Based Chronic Kidney Disease and Diabetes Prediction with Feature Effect Analysis Using SHAP
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Kidney Disease Detection and Identification Using Artificial Intelligence
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Chronic Kidney Disease Patients in Predicting Renal Function Decline Integration of Machine Learning Techniques
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Advanced Kidney CT Scan Diagnosis: A Comparative Study of VGG16 and DenseNet201 Deep Learning Models
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ResNet101-Based Deep Learning Model for Kidney Disease Classification: Normal vs. Stone
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A review on machine learning driven models for early diagnosis of chronic kidney diseases
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A Comprehensive Analysis of Chronic Health Diseases using Big Data
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Predicting Kidney Failure using an Ensemble Machine Learning Model: A Comparative Study
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A decision-making system for medical diagnosis based on iterative nearest component analysis and optimized learning
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An Effective Way to Identify Chronic Kidney Disease Using Machine Learning
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Explainable AI-Driven Chronic Kidney Disease Prediction System
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Hybrid Fine-Grained Sentiment Analysis Approach for Patient Feedback in Multispecialty Hospitals in Raipur
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Chronic Kidney Disease Prediction Using Machine Learning Algorithms and the Important Attributes for the Detection
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Chronic Kidney Disease Prediction Using Machine Learning and Deep Learning Models
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Premature Discovery of Long-Term Prolonged Renal Disorder Using Machine Learning Algorithm
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A LIME-Based Explainable Machine Learning Technique for the Risk Prediction of Chronic Kidney Disease
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A Review: Heart Disease Prediction Based on Conventional and Machine Learning Algorithms
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Prediction of Alzheimer's disease - A Machine Learning Perspective with Ensemble Learning
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A Machine Learning Framework for Early Diagnosis of Chronic Diseases: a Multi-Class Classification Approach
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Detection of Chronic Kidney Disease Using Machine Learning Algorithms
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A Survey on Machine Learning Algorithms for the Detection of Chronic Kidney Disease
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A Review: Analyzing Risk Factors and Prediction for Chronic Kidney Disease using Machine and Deep Learning Techniques
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Survey on Chronic Kidney Disease Prediction Using ML
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Comparative Analysis of EfficientNet-V2 and InceptionNet-V2 for Accurate Kidney Disease Detection Using CT Scans
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Chronic Kidney Disease Classification Using Machine Learning Methodology: Investigating Predictive Models
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Medical Data Analysis and Machine Learning Models for Kidney Disease Prediction: Exploratory Study
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Improving Enhanced Clinical Decision Making : Chronic Kidney Disease Detection
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Machine Learning and Explainable AI Framework for Multiclass Chronic Kidney Disease Risk Prediction Under Nephrotoxic Drug Exposure
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Precision Medicine in Nephrology: An Exploratory Study of Machine Learning Models for Accurate Kidney Disease Prognosis
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A High-Accuracy Deep Learning Model for Early Prediction of Chronic Kidney Disease using Optimized Clinical Features
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Chronic Kidney Disease Detection using Machine Learning Algorithms: A Sri Lankan Study
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AI-Driven Solutions in Kidney Disease Management: A Systematic Literature Review
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A Comparative Analysis of Machine Learning Models for Chronic Kidney Disease Prediction
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Review of the various ML and DL based Chronic Kidney Disease Diagnosis Techniques
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Robust and Explainable Machine Learning Framework for Early Detection of Chronic Kidney Disease with XGBoost
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An ensemble learning-based model for effective chronic kidney disease prediction
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An Empirical Method For Chronic Kidney Disease Prediction
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Prediction of Chronic Kidney Disease Progression Using CNN Based Machine Learning Models
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Predicting the Progression of Health Affecting Disease: A Comparative Analysis using ANN and Ensemble Approach
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Comparison of Novel Machine Learning Algorithms for Predicting Chronic Renal Disease
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An Ensemble Learning Approach for Chronic Kidney Disease Prediction Using Different Machine Learning Algorithms with Correlation Based Feature Selection
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An Efficient Early Identification of Chronic Kidney Disease using Machine Learning Techniques
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Uncertainty and Explainability in AI for Chronic Kidney Disease: A Comprehensive Review
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Benchmarking Machine Learning Models for CKD Prediction: A Focus on the Superiority of Gradient Boosting (GBM)
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Uncertainty-Aware AI for Enhanced Chronic Kidney Disease Diagnosis: A Review of Explainable and Reliable Models
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A Machine Learning Approach to Early Detection and Classification of Kidney Disease
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A Sensitivity-Optimised Ensemble Framework for Explainable Chronic Kidney Disease Screening
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Chronic Kidney Disease Detection: A Comparative study
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Integration of Machine Learning Algorithms in Predicting Renal Function Decline in Chronic Kidney Disease Patients
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A Comparative Analysis of Machine Learning Approaches for Chronic Kidney Disease Detection
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Automatic Non-Invasive Kidney Function Detection for Male Patient
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A Multi Model to Enhance The Detection and Classification of Chronic Kidney Disease Using Machine Learning
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Concrete Compressive Strength Estimation through the Application of Machine Learning Techniques
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Prominent Features based Chronic Kidney Disease Prediction Model using Machine Learning
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Comparative Analysis of Machine Learning Algorithms for Early Detection of Chronic Kidney Disease
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Advanced Kidney Disease Analysis using YOLOv10 and Stacked U-Net++ Framework
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Chronic kidney disease prediction using different machine learning models
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Machine Learning Algorithms in Predicting Multi-Diseases
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Predicting Chronic Kidney Disease using Machine Learning in the Early Stages
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Robust and Interactive Detection System for Cardiovascular Disease using Artificial Intelligence
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Deep Learning Approach for Detecting Kidney Abnormalities from Medical Imaging
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Early Health Risk Screening
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A Deep Learning Framework for Renal Disease Classification with Real-Time Web Deployment
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KidneyAI-A Lightweight Deep Learning Framework for Early Classification of Kidney Diseases Using Ultrasound Images
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Chronic Kidney Disease Prediction
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Machine Learning Methods for Diagnosis of Human Diseases: A Systematic Literature Review
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