ECG morphological variability in beat space for risk stratification after acute coronary syndrome.
about
A pilot study of prognostic value of non-invasive cardiac parameters for major adverse cardiac events in patients with acute coronary syndrome treated with percutaneous coronary intervention.Ranolazine preserves and improves left ventricular ejection fraction and autonomic measures when added to guideline-driven therapy in chronic heart failure.Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndromeMachine Learning Improves Risk Stratification After Acute Coronary Syndrome.
P2860
ECG morphological variability in beat space for risk stratification after acute coronary syndrome.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին 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
ECG morphological variability ...... after acute coronary syndrome.
@ast
ECG morphological variability ...... after acute coronary syndrome.
@en
type
label
ECG morphological variability ...... after acute coronary syndrome.
@ast
ECG morphological variability ...... after acute coronary syndrome.
@en
prefLabel
ECG morphological variability ...... after acute coronary syndrome.
@ast
ECG morphological variability ...... after acute coronary syndrome.
@en
P2093
P2860
P356
P1476
ECG morphological variability ...... after acute coronary syndrome
@en
P2093
Benjamin M Scirica
Collin M Stultz
David A Morrow
John V Guttag
Zeeshan Syed
P2860
P304
P356
10.1161/JAHA.114.000981
P50
P577
2014-06-24T00:00:00Z