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

Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease

(2021) Lili Chan et al.   DIABETOLOGIA

Determining diagnosis date of diabetes using structured electronic health record (EHR) data: the SEARCH for diabetes in youth study

(2021) Kristin M. Lenoir et al.   BMC Medical Research Methodology

Health-related quality of life in patients with chronic kidney disease

(2020) Hani Hussien et al.   Expert Review of Pharmacoeconomics & Outcomes Research

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

(2019) Masaki Makino et al.   Scientific Reports

Development of Risk Prediction Equations for Incident Chronic Kidney Disease

(2019) Robert G. Nelson et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

CKD in diabetes: diabetic kidney disease versus nondiabetic kidney disease

(2018) Hans-Joachim Anders et al.   Nature Reviews Nephrology

Diagnosis of diabetic kidney disease: state of the art and future perspective

(2018) Frederik Persson et al.   Kidney International Supplements

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

(2018) Stefan Ravizza et al.   NATURE MEDICINE

Chronic Kidney Disease

(2017) Angela C Webster et al.   LANCET

Cost and mortality impact of an algorithm-driven sepsis prediction system

(2017) Jacob Calvert et al.   JOURNAL OF MEDICAL ECONOMICS

Risk Prediction for Early CKD in Type 2 Diabetes

(2015) D. Dunkler et al.   Clinical Journal of the American Society of Nephrology

Diabetic kidney disease: a clinical update from Kidney Disease: Improving Global Outcomes

(2015) Mark E. Molitch et al.   KIDNEY INTERNATIONAL

Diabetic Kidney Disease: A Report From an ADA Consensus Conference

(2014) Katherine R. Tuttle et al.   DIABETES CARE

Primary Care Detection of Chronic Kidney Disease in Adults with Type-2 Diabetes: The ADD-CKD Study (Awareness, Detection and Drug Therapy in Type 2 Diabetes and Chronic Kidney Disease)

(2014) Lynda A. Szczech et al.   PLoS One

Kidney Disease and Increased Mortality Risk in Type 2 Diabetes

(2013) M. Afkarian et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis

(2013) Ross KK Leung et al.   BMC Nephrology

Risk factors for chronic kidney disease: an update

(2013) Rumeyza Kazancioğlu   Kidney International Supplements

Prediction of Kidney-Related Outcomes in Patients With Type 2 Diabetes

(2012) Meg J. Jardine et al.   AMERICAN JOURNAL OF KIDNEY DISEASES

Automated Detection and Classification of Type 1 Versus Type 2 Diabetes Using Electronic Health Record Data

(2012) M. Klompas et al.   DIABETES CARE

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

(2012) Rafael Lozano et al.   LANCET

Cellular and molecular mechanisms of diabetic glomerulopathy

(2012) Luigi Gnudi   NEPHROLOGY DIALYSIS TRANSPLANTATION

Notice

(2012)   Kidney International Supplements

Chronic kidney disease

(2011) Andrew S Levey et al.   LANCET

Early detection of CKD: the benefits, limitations and effects on prognosis

(2011) Adeera Levin et al.   Nature Reviews Nephrology

Olmesartan for the Delay or Prevention of Microalbuminuria in Type 2 Diabetes

(2011) Hermann Haller et al.   NEW ENGLAND JOURNAL OF MEDICINE

Validating ICD coding algorithms for diabetes mellitus from administrative data

(2010) Guanmin Chen et al.   DIABETES RESEARCH AND CLINICAL PRACTICE