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

A clinically applicable approach to continuous prediction of future acute kidney injury

(2019) Nenad Tomašev et al.   NATURE

Predicting acute kidney injury in cancer patients using heterogeneous and irregular data

(2018) Namyong Park et al.   PLoS One

Taiwan renal care system: A learning health-care system

(2018) Mei-Yi Wu et al.   NEPHROLOGY

Glomerular Filtration Rate and Initiation of Dialysis

(2017) Rachele Escoli et al.   THERAPEUTIC APHERESIS AND DIALYSIS

Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System

(2016) Jamshid Norouzi et al.   Computational and Mathematical Methods in Medicine

Global Prevalence of Chronic Kidney Disease – A Systematic Review and Meta-Analysis

(2016) Nathan R. Hill et al.   PLoS One

KDOQI Clinical Practice Guideline for Hemodialysis Adequacy: 2015 Update

(2015) John T. Daugirdas et al.   AMERICAN JOURNAL OF KIDNEY DISEASES

A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan

(2015) C.-W. Huang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep learning

(2015) Yann LeCun et al.   NATURE

Chronic kidney disease: global dimension and perspectives

(2013) Vivekanand Jha et al.   LANCET

Pegasos: primal estimated sub-gradient solver for SVM

(2010) Shai Shalev-Shwartz et al.   MATHEMATICAL PROGRAMMING

A Randomized, Controlled Trial of Early versus Late Initiation of Dialysis

(2010) Bruce A. Cooper et al.   NEW ENGLAND JOURNAL OF MEDICINE