Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room M Green, J Björk, J Forberg, U Ekelund, L Edenbrandt, M Ohlsson Artificial Intelligence in Medicine 38 (3), 305-318, 2006 | 164 | 2006 |
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department JL Forberg, M Green, J Björk, M Ohlsson, L Edenbrandt, H Öhlin, ... Journal of Electrocardiology 42 (1), 58-63, 2009 | 42 | 2009 |
Exploring new possibilities for case-based explanation of artificial neural network ensembles M Green, U Ekelund, L Edenbrandt, J Björk, JL Forberg, M Ohlsson Neural Networks 22 (1), 75-81, 2009 | 38 | 2009 |
Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome M Green, M Ohlsson, JL Forberg, J Björk, L Edenbrandt, U Ekelund Journal of electrocardiology 40 (3), 251-256, 2007 | 28 | 2007 |
Comparison of standard resampling methods for performance estimation of artificial neural network ensembles M Green, M Ohlsson Third International Conference on Computational Intelligence in Medicine and …, 2007 | 17 | 2007 |
Detection of acute coronary syndromes in chest pain patients using neural network ensembles M Green, J Björk, JL Hansen, U Ekelund, L Edenbrandt, M Ohlsson Second International Conference on Computational Intelligence in Medicine …, 2005 | 17 | 2005 |
An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation … JL Forberg, A Khoshnood, M Green, M Ohlsson, J Björk, S Jovinge, ... Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 20, 8, 2012 | 15 | 2012 |
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients M Green, U Ekelund, L Edenbrandt, J Björk, JL Hansen, M Ohlsson International Conference on Machine Learning, 2008 | 3 | 2008 |
Evolution of prey polymorphism induced by learning predators J HOLMÉR, M GREEN Journal of Biological Systems 19 (02), 319-328, 2011 | 1 | 2011 |
Pre-hospital prediction of transmural myocardial infarction and the need of acute coronary reperfusion by an artificial neural network compared to real-time prediction by a … JL Forberg, A Khoshnood, M Green, M Ohlsson, L Edenbrandt, U Ekelund National Meeting in Emergency Medicine, 2008, Lund, Sweden, 2008-10-16-2008 …, 2008 | | 2008 |
Comments on Practical experiences on the necessity of external validation by IR König, JD Malley, C. Weimar, H.-C. Diener and A. Ziegler, Statistics in Medicine U Ekelund, J Björk, M Green Statistics in Medicine 27 (14), 2737-2738, 2008 | | 2008 |
Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach M Green | | 2008 |
Comments on Practical experiences on the necessity of external validation by IR König, JD Malley, C. Weimar, H.-C. Diener and A. Ziegler, Statistics in Medicine J Björk, M Green, U Ekelund Statistics in Medicine 27 (14), 2737-2738, 2008 | | 2008 |