Decision-tree model for predicting outcomes after out-of-hospital cardiac arrest in the emergency department.
about
C-GRApH: A Validated Scoring System for Early Stratification of Neurologic Outcome After Out-of-Hospital Cardiac Arrest Treated With Targeted Temperature ManagementIdentifying candidates with favorable prognosis following liver transplantation for hepatocellular carcinoma: Data mining analysis.Termination-of-resuscitation rule for emergency department physicians treating out-of-hospital cardiac arrest patients: an observational cohort study.Neurological outcomes in patients transported to hospital without a prehospital return of spontaneous circulation after cardiac arrestDecision tree model for predicting long-term outcomes in children with out-of-hospital cardiac arrest: a nationwide, population-based observational studyThe secular trends in the incidence rate and outcomes of out-of-hospital cardiac arrest in Taiwan--a nationwide population-based study.Neurological outcomes in children dead on hospital arrival.External validation of the ROSC after cardiac arrest (RACA) score in a physician staffed emergency medical service system.A novel scoring system for predicting the neurologic prognosis prior to the initiation of induced hypothermia in cases of post-cardiac arrest syndrome: the CAST score.The Value of Lesion Size as an Adjunct to the BI-RADS-MRI 2013 Descriptors in the Diagnosis of Solitary Breast Masses.An analysis of the relationship between the applied medical rescue actions and the return of spontaneous circulation in adults with out-of-hospital sudden cardiac arrest
P2860
Q30252366-25241A24-9F8D-4AE6-9799-50FB14486DD9Q30962577-53886C11-6892-4F3D-B246-A2A407208BFCQ33753893-1B29CA22-2F13-48D0-B376-98CDD2CFAED3Q33754451-3821B55B-14AE-4906-A143-94285265B121Q34485845-8E7B3777-E9E1-4DF0-848C-7F5B11B2B104Q35429436-328FFA14-31B9-45D2-8293-5D33F6810BDEQ36298506-01BA7543-CE77-4519-84EE-575B759AA4A6Q37728652-27048DB3-2C35-4E89-AA4D-9642548F4ED9Q38685519-2BD74CEC-3F5E-41DF-8EBB-D95FA41ACECBQ47174649-41BC44F8-1BEC-4A17-AC5F-0FD1BF80CFE7Q57804265-FEE20306-8F23-4F6F-AB9A-9E696F70FB1F
P2860
Decision-tree model for predicting outcomes after out-of-hospital cardiac arrest in the emergency department.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Decision-tree model for predic ...... t in the emergency department.
@ast
Decision-tree model for predic ...... t in the emergency department.
@en
type
label
Decision-tree model for predic ...... t in the emergency department.
@ast
Decision-tree model for predic ...... t in the emergency department.
@en
prefLabel
Decision-tree model for predic ...... t in the emergency department.
@ast
Decision-tree model for predic ...... t in the emergency department.
@en
P2093
P2860
P356
P1433
P1476
Decision-tree model for predic ...... t in the emergency department.
@en
P2093
Tetsuo Maeda
Yoshikazu Goto
Yumiko Goto
P2860
P2888
P356
10.1186/CC12812
P577
2013-07-11T00:00:00Z
P5875
P6179
1031371493