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Predicting Long-Term Mortality with Biomarkers Level for Homecare Patients
Ying-Ju Chen, Meng-Ting Tsou, Chung-Lieh Hung, Wen-Ling Chang, Pei-Hung Liao
269
10.3233/978-1-61499-872-3-269
Studies in Health Technology and Informatics
Volume 250: Nursing Informatics 2018
Abstract

Electronic health record (EHR) systems have been used widely in research. However, most of the EHRs are highly dimensional and it is challenging to analyze such large data set. Bioinformatics is an interdisciplinary science with a focus on data management and interpretation for complex biological phenomena. We investigated biomarkers of nutrition from 3001 patients. Multivariate-adjusted hazard ratios of mortality were calculated according to both albumin and sodium levels. We explore the association of aging predicted by all-cause mortality in future.

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