CrossRef Text and Data Mining
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Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data
Mohammad Moqaddasi Amiri, Leili Tapak, Javad Faradmal, Javad Hosseini, Ghodratollah Roshanaei
Healthc Inform Res. 2020;26(2):112-118.   Published online April 30, 2020
DOI: https://doi.org/10.4258/hir.2020.26.2.112

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Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data
Healthcare Informatics Research. 2020;26(2):112-118   Crossref logo
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Dynamic customer lifetime value prediction using longitudinal data: An improved multiple kernel SVR approach
Knowledge-Based Systems. 2013;43:123-134   Crossref logo
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The Association Between the Serum Uric Acid to Creatinine Ratio and All-Cause Mortality in Elderly Hemodialysis Patients
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P0303IS THERE ANY UTILITY OF USING A RATIO BETWEEN SERUM BIOMARKERS AND PREDIALYSIS SERUM CREATININE IN ESKD PATIENTS TREATED WITH HEMODIALYSIS?
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Variation in serum creatinine methodology and eGFR equations confound longitudinal eGFR data
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Serum creatinine-to-cystatin C ratio as an indicator of sarcopenia in hemodialysis patients
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Highest serum creatinine ever reported
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Prediction of Daily Energy Intake using serum prealbumin and blood urea nitrogen in maintenance hemodialysis patients
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Comparison of the predictability of serum creatinine-based surrogates of skeletal muscle mass for all-cause mortality in patients receiving hemodialysis: creatinine generation rate and creatinine index
Clinical and Experimental Nephrology. 2022;26(5):488-489   Crossref logo
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Serum Creatinine and Albumin Decline Predict the Contraction of Nosocomial Aspiration Pneumonia in Patients Undergoing Hemodialysis
Therapeutic Apheresis and Dialysis. 2013;18(4):326-333   Crossref logo
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