Comparison of Different Machine Learning Techniques to Predict Diabetic Kidney Disease

Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus

(2022) Angier Allen et al.   BMJ Open Diabetes Research & Care

Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques

(2021) Ebrahime Mohammed Senan et al.   Journal of Healthcare Engineering

Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients

(2021) Nakib Hayat Chowdhury et al.   Diagnostics

A comparison of machine learning algorithms for diabetes prediction

(2021) Jobeda Jamal Khanam et al.   ICT Express

Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review

(2021) Kuo Ren Tan et al.   Journal of diabetes science and technology

Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model

(2020) Thippa Reddy Gadekallu et al.   Electronics

Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

(2020) Erik Dovgan et al.   PLoS One

Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial applying Machine Learning Techniques

(2019) Violeta Rodriguez‐Romero et al.   CTS-Clinical and Translational Science

Predicting outcomes of chronic kidney disease from EMR data based on Random Forest Regression

(2019) Jing Zhao et al.   MATHEMATICAL BIOSCIENCES

Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study

(2019) Njoud Abdullah Almansour et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach

(2019) Yoichi Hayashi   Diagnostics

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning

(2019) Masaki Makino et al.   Scientific Reports

The Saudi Diabetic Kidney Disease study (Saudi-DKD): clinical characteristics and biochemical parameters

(2018) Khalid Al-Rubeaan et al.   ANNALS OF SAUDI MEDICINE

Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data

(2018) Stefan Ravizza et al.   NATURE MEDICINE

Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods

(2017) Huseyin Polat et al.   JOURNAL OF MEDICAL SYSTEMS

Urinary biomarkers for early diabetic nephropathy: beyond albuminuria

(2014) So-Young Lee et al.   PEDIATRIC NEPHROLOGY

The mating type-like loci of Candida glabrata

(2013) Patricia Yáñez-Carrillo et al.   REVISTA IBEROAMERICANA DE MICOLOGIA

Data Mining in Healthcare and Biomedicine: A Survey of the Literature

(2011) Illhoi Yoo et al.   JOURNAL OF MEDICAL SYSTEMS

The contribution of chronic kidney disease to the global burden of major noncommunicable diseases

(2011) William G. Couser et al.   KIDNEY INTERNATIONAL

Comparison between supervised and unsupervised classifications of neuronal cell types: A case study

(2010) Luis Guerra et al.   Developmental Neurobiology