Artificial neural networks and risk stratification: A promising combination

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations

Computing, Computer Science, Knowledge Representation +11

Primary and subsequent coronary risk appraisal: New results from the Framingham study

Ralph B. D’Agostino, Mason W. Russell, Daniel M. Huse et al. · American Heart Journal · 2000 · 588 citations

Medicine, Cardiology, Preventive Medicine +16

Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Münster Study (PROCAM) using neural networks

Paul Cullen, H. Schulte, Gerd Assmann · International Journal of Epidemiology · 2002 · 152 citations · Full text

Medicine, Cardiology, Preventive Medicine +12

Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention

Frederic S. Resnic, Lucila Ohno‐Machado, Andrew P. Selwyn et al. · The American Journal of Cardiology · 2001 · 87 citations

Medicine, Cardiology, Risk Management +16

Combining a neural network with case-based reasoning in a diagnostic system

Eliseo Berní Reategui, J. A. Campbell, Beatriz F. Leão · Artificial Intelligence in Medicine · 1997 · 65 citations

Computing, Computer Science, Artificial Intelligence +14