Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea
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Title
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea
Authors
Keywords
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Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-05-04
DOI
10.1038/s41598-020-64184-0
References
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Related references
Note: Only part of the references are listed.- International Variations in Peritoneal Dialysis Utilization and Implications for Practice
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- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections
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- A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
- (2017) Kyung Don Yoo et al. Scientific Reports
- An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients
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- Lower serum uric acid level predicts mortality in dialysis patients
- (2016) Eunjin Bae et al. MEDICINE
- Changes in the worldwide epidemiology of peritoneal dialysis
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- Development and Validation of the Modified Charlson Comorbidity Index in Incident Peritoneal Dialysis Patients: A National Population-Based Approach
- (2016) Hyunjeong Cho et al. PERITONEAL DIALYSIS INTERNATIONAL
- Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
- (2015) Alexander Decruyenaere et al. BMC Medical Informatics and Decision Making
- A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis
- (2015) Carlo Barbieri et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Worldwide access to treatment for end-stage kidney disease: a systematic review
- (2015) Thaminda Liyanage et al. LANCET
- Recalibration and Validation of the Charlson Comorbidity Index in Korean Incident Hemodialysis Patients
- (2015) Jae Yoon Park et al. PLoS One
- A population-based approach indicates an overall higher patient mortality with peritoneal dialysis compared to hemodialysis in Korea
- (2014) Hyunwook Kim et al. KIDNEY INTERNATIONAL
- US Renal Data System 2013 Annual Data Report
- (2013) Allan J. Collins et al. AMERICAN JOURNAL OF KIDNEY DISEASES
- Survival Advantage of Peritoneal Dialysis Relative to Hemodialysis in the Early Period of Incident Dialysis Patients: A Nationwide Prospective Propensity-Matched Study in Korea
- (2013) Ji-Young Choi et al. PLoS One
- Relationship Between the Prognostic Expectations of Seriously Ill Patients Undergoing Hemodialysis and Their Nephrologists
- (2013) Melissa W. Wachterman et al. JAMA Internal Medicine
- Ageism vs the technical imperative applying the GRADE framework to the evidence on hemodialysis in very elderly patients
- (2013) Bjorg Thorsteinsdottir et al. Clinical Interventions in Aging
- Discussions of the Kidney Disease Trajectory by Elderly Patients and Nephrologists: A Qualitative Study
- (2012) Jane O. Schell et al. AMERICAN JOURNAL OF KIDNEY DISEASES
- Diagnosis and prevention of chronic kidney allograft loss
- (2011) Brian J Nankivell et al. LANCET
- Functional Status of Elderly Adults before and after Initiation of Dialysis
- (2009) Manjula Kurella Tamura et al. NEW ENGLAND JOURNAL OF MEDICINE
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