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Michael Green
Michael Green
Desupervised
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Year
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
1542006
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
412009
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
372009
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
262007
Comparison of standard resampling methods for performance estimation of artificial neural network ensembles
M Green, M Ohlsson
Proc. Computat. Intell. Med. Healthcare, 1-6, 2007
172007
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
172005
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
152012
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
32008
Evolution of prey polymorphism induced by learning predators
J HOLMÉR, M GREEN
Journal of Biological Systems 19 (02), 319-328, 2011
12011
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, 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
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