Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.
about
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.Protocol for a national blood transfusion data warehouse from donor to recipient.Decreased red blood cell use and mortality in hospitalized patients.Nomogram to predict perioperative blood transfusion for hepatopancreaticobiliary and colorectal surgery.Demographic and epidemiologic characterization of transfusion recipients from four US regions: evidence from the REDS-III recipient database.
P2860
Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Predicting red blood cell tran ...... idities, and illness severity.
@ast
Predicting red blood cell tran ...... idities, and illness severity.
@en
type
label
Predicting red blood cell tran ...... idities, and illness severity.
@ast
Predicting red blood cell tran ...... idities, and illness severity.
@en
prefLabel
Predicting red blood cell tran ...... idities, and illness severity.
@ast
Predicting red blood cell tran ...... idities, and illness severity.
@en
P2093
P2860
P356
P1476
Predicting red blood cell tran ...... idities, and illness severity.
@en
P2093
Bix E Swain
Edward L Murphy
Gabriel J Escobar
Marla N Gardner
NHLBI Recipient Epidemiology and Donor Evaluation Study-III (REDS-III)
Nareg H Roubinian
Northern California Kaiser Permanente DOR Systems Research Initiative
Vincent Liu
P2860
P2888
P356
10.1186/1472-6963-14-213
P577
2014-05-10T00:00:00Z
P5875
P6179
1050070293