Uncertainty quantification in DenseNet model using myocardial infarction ECG signals

V. Jahmunah,E.Y.K. Ng,Ru- San Tan,Shu Lih Oh,U. Rajendra Acharya

Computer Methods and Programs in Biomedicine（2023）

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摘要

Through this work, it has been established that the model is reliable as it was able to convey when it was not confident in the diagnostic information it was presenting. Thus, the model is trustworthy and can be used in healthcare applications, such as the emergency diagnosis of MI on ECGs.

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关键词

Uncertainty quantification,Myocardial infarction,DenseNet model,Deep learning,Predictive entropy,Reverse KL divergence

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