Detection of Acute Coronary Syndromes in Chest Pain Patients Using Neural Network Ensembles

@inproceedings{Green2005DetectionOA,
  title={Detection of Acute Coronary Syndromes in Chest Pain Patients Using Neural Network Ensembles},
  author={Michael B. Green and Jonas Bj{\"o}rk and Jens Hofman Hansen and Ulf Ekelund and Lars Edenbrandt and Mattias Ohlsson},
  year={2005}
}
Patients with suspicion of acute coronary syndrome (ACS) are difficult to diagnose and they belong to a very heterogenous group of patients. Some require immediate treatment while others, with only minor disorders, may be sent home. Detecting ACS patients using a machine learning approach would be advantageous in many situations. This study is based on patients with chest pain attending the emergency department of Lund University Hospital. A total of 915 cases were incorporated of which 190… CONTINUE READING
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