Electronic health records accurately predict renal replacement therapy in acute kidney injury

10.1186/s12882-019-1206-4

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Bibliographic Details
Main Authors:	Low, Sanmay, Vathsala, Anantharaman, Murali, Tanusya Murali, Pang, Long, MacLaren, Graeme, Ng, Wan-Ying, Haroon, Sabrina, Mukhopadhyay, Amartya, Lim, Shir-Lynn, Tan, Bee-Hong, Lau, Titus, Chua, Horng-Ruey
Other Authors:	MEDICINE
Format:	Article
Language:	English
Published:	BMC 2019
Subjects:	Science & Technology Life Sciences & Biomedicine Urology & Nephrology Acute kidney injury Decision support techniques Electronic health records Epidemiology Mortality Outcomes and process assessment Renal replacement therapy CRITICALLY-ILL PATIENTS DIALYSIS AKI MULTICENTER INTENSITY PROGNOSIS FAILURE DEATH SCORE MODEL
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/155324
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Institution:	National University of Singapore
Language:	English

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