Short Timeframe Prediction of Kidney Failure among Patients with Advanced Chronic Kidney Disease.

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Bibliographic Details
Title: Short Timeframe Prediction of Kidney Failure among Patients with Advanced Chronic Kidney Disease.
Authors: Klamrowski MM; Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada., Klein R; Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada.; Division of Nuclear Medicine, Department of Medicine, University of Ottawa, Ottawa, ON, Canada., McCudden C; Eastern Ontario Regional Laboratory Association, Ottawa, ON, Canada.; Division of Biochemistry, Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, ON, Canada., Green JR; Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada., Ramsay T; Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada., Rashidi B; Division of General Internal Medicine, Department of Medicine, University of Ottawa, Ottawa, ON, Canada., White CA; Division of Nephrology, Department of Medicine, Queen's University, Kingston, ON, Canada., Oliver MJ; Division of Nephrology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., Akbari A; Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.; Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada., Hundemer GL; Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.; Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
Source: Clinical chemistry [Clin Chem] 2023 Oct 03; Vol. 69 (10), pp. 1163-1173.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9421549 Publication Model: Print Cited Medium: Internet ISSN: 1530-8561 (Electronic) Linking ISSN: 00099147 NLM ISO Abbreviation: Clin Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1530-8561
DOI:10.1093/clinchem/hvad112