An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data
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Myocardial infarctions and heart failure are the cause of more than 17 million deaths annually worldwide. ST-segment elevation myocardial infarctions (STEMI) require timely treatment, because delays of minutes have serious clinical impacts. Machine learning ca... ...
