Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis

The global burden of chronic kidney disease

(2020) Paul Cockwell et al.   LANCET

Use of disease embedding technique to predict the risk of progression to end-stage renal disease

(2020) Fang Zhou et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Development of prognostic model for patients at CKD stage 3a and 3b in South Central China using computational intelligence

(2020) Qiongjing Yuan et al.   Clinical and Experimental Nephrology

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

(2020) Erik Dovgan et al.   PLoS One

KDOQI Clinical Practice Guideline for Nutrition in CKD: 2020 Update

(2020) T. Alp Ikizler et al.   AMERICAN JOURNAL OF KIDNEY DISEASES

Machine‐learning–based early prediction of end‐stage renal disease in patients with diabetic kidney disease using clinical trials data

(2020) Sunil Belur Nagaraj et al.   DIABETES OBESITY & METABOLISM

Development and testing of an artificial intelligence tool for predicting end stage kidney disease in patients with immunoglobulin A nephropathy.

(2020) Francesco Paolo Schena et al.   KIDNEY INTERNATIONAL

Towards the best kidney failure prediction tool: a systematic review and selection aid

(2019) Chava L Ramspek et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION

A Novel Metabolic Signature To Predict the Requirement of Dialysis or Renal Transplantation in Patients with Chronic Kidney Disease

(2019) Helena U. Zacharias et al.   JOURNAL OF PROTEOME RESEARCH

Prediction and Risk Stratification of Kidney Outcomes in IgA Nephropathy

(2019) Tingyu Chen et al.   AMERICAN JOURNAL OF KIDNEY DISEASES

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

(2019) Jing Xiao et al.   Journal of Translational Medicine

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

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Big Data and Machine Learning in Health Care

(2018) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Early Stage Chronic Kidney Disease Diagnosis by Applying Data Mining Methods to Urinalysis, Blood Analysis and Disease History

(2018) S.B. Akben   IRBM

Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression

(2017) Li-Chen Cheng et al.   JOURNAL OF MEDICAL SYSTEMS

Diagnosis of patients with chronic kidney disease by using two fuzzy classifiers

(2016) Zewei Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Patient classification and outcome prediction in IgA nephropathy

(2015) M. Diciolla et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Clinical decision support system for end-stage kidney disease risk estimation in IgA nephropathy patients

(2015) Francesco Pesce et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study

(2014) W Annefloor van Enst et al.   BMC Medical Research Methodology

Decline in Estimated Glomerular Filtration Rate and Subsequent Risk of End-Stage Renal Disease and Mortality

(2014) Josef Coresh et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Risk Prediction Models for Patients With Chronic Kidney Disease

(2013) Navdeep Tangri et al.   ANNALS OF INTERNAL MEDICINE

Mining electronic health records: towards better research applications and clinical care

(2012) Peter B. Jensen et al.   NATURE REVIEWS GENETICS

Notice

(2012)   Kidney International Supplements

Dialysis-requiring acute renal failure increases the risk of progressive chronic kidney disease

(2009) Lowell J. Lo et al.   KIDNEY INTERNATIONAL

Risk stratification for progression of IgA nephropathy using a decision tree induction algorithm

(2008) M. Goto et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION