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Showing results 1 to 6 of 6

Issue DateTitle / Author(s) / CitationFileAltmetrics
2015-06
Machine learning models and statistical measures for predicting the progression of IgA nephropathy

Noh, Junhyug; Punithan, Dharani; Lee, Hajeong; Lee, JungPyo; Kim, YonSu; Kim, DongKi; McKay, Ri (Bob)

International Journal of Software Engineering and Knowledge Engineering, Vol.25 No.5, pp.829-849

DOI
2016-08
Superior outcomes of kidney transplantation compared with dialysis An optimal matched analysis of a national population-based cohort study between 2005 and 2008 in Korea
DOI
2017-08
A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
DOI
2020-05
Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea
DOI
2020-08
Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study
DOI
2023-03
Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach
DOI
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