共 169 条
[1]
Ponikowski P(2016)2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC Eur J Heart Fail 18 891-975
[2]
Voors AA(2016)Epidemiology and aetiology of heart failure Nat Rev Cardiol 13 368-378
[3]
Anker SD(2003)Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: the Framingham Heart Study Circulation 107 2920-2925
[4]
Ziaeian B(2018)Performance of prognostic risk scores in chronic heart failure patients enrolled in the European Society of Cardiology Heart Failure Long-Term Registry JACC Heart Fail 6 452-462
[5]
Fonarow GC(2020)Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis J Thromb Thrombolysis 49 1-9
[6]
Wang TJ(2017)Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis Eur Heart J 38 500-507
[7]
Larson MG(2019)Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics ESC Heart Fail 6 428-435
[8]
Levy D(2017)2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America Circulation 136 e137-e161
[9]
Canepa M(2012)Estimating glomerular filtration rate from serum creatinine and cystatin C New Engl J Med 367 20-29
[10]
Fonseca C(2009)A meta-analysis of the prognostic significance of atrial fibrillation in chronic heart failure Eur J Heart Fail 11 676-683