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- 2012
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Mark
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 myocardial infarction
(
- Contribution to journal › Article
- 2009
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Mark
Exploring new possibilities for case based explanation of artificial neural network ensembles
(
- Contribution to journal › Article
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Mark
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
(
- Contribution to journal › Article
- 2008
-
Mark
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
2008) International Conference on Machine Learning(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2007
-
Mark
Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome.
(
- Contribution to journal › Article
- 2006
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Mark
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room
(
- Contribution to journal › Article
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Mark
Direct hospital costs of chest pain patients attending the emergency department: a retrospective study
(
- Contribution to journal › Article
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Mark
A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department
(
- Contribution to journal › Article
- 2005
-
Mark
Detection of acute coronary syndromes in chest pain patients using neural network ensembles
2005) Second International Conference on Computational Intelligence in Medicine and Healthcare p.182-187(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding