scholarly journals MACHINE LEARNING WITH BIOMARKERS IMPROVES THE PREDICTION OF LONG-TERM OUTCOMES IN HEART FAILURE PATIENTS TREATED WITH CARDIAC RESYNCHRONIZATION THERAPY

2020 ◽  
Vol 75 (11) ◽  
pp. 390
Author(s):  
Shengwen Yang ◽  
Wei Hua
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Long Term Outcomes ◽  
Heart Failure Patients

LONG-TERM OUTCOMES OF CARDIAC RESYNCHRONIZATION THERAPY IN ASYMPTOMATIC HEART FAILURE PATIENTS

2018 ◽  
Vol 71 (11) ◽  
pp. A440
Author(s):  
Valentina Kutyifa ◽  
Blanca Quesada ◽  
Helmut Klein ◽  
Yitschak Biton ◽  
Scott McNitt ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Resynchronization Therapy ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Long Term Outcomes ◽  
Heart Failure Patients

scholarly journals P1564Full blood count parameters predict long-term outcomes in heart failure patients undergoing cardiac resynchronization therapy

EP Europace ◽  
2017 ◽  
Vol 19 (suppl_3) ◽  
pp. iii328-iii328
Author(s):  
N. Papageorgiou ◽  
R. Providencia ◽  
A. Ioannou ◽  
D. Falconer ◽  
S. Ahsan ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiac Resynchronization Therapy ◽  
Blood Count ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Long Term Outcomes ◽  
Heart Failure Patients
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