A Supervised Machine Learning Algorithm for Arrhythmia AnalysisH

@inproceedings{uvenir1997ASM,
  title={A Supervised Machine Learning Algorithm for Arrhythmia AnalysisH},
  author={Altay G uvenir and Burak Açar},
  year={1997}
}
A new machine learning algorithm for the diagno sis of cardiac arrhythmia from standard lead ECG recordings is presented The algorithm is called VFI for Voting Feature Intervals VFI is a supervised and inductive learning algorithm for inducing classi cation knowledge from examples The input to VFI is a train ing set of records Each record contains clinical mea surements from ECG signals and some other infor mation such as sex age and weight along with the decision of an expert cardiologist The… CONTINUE READING
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References

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Classi cation by Voting Feature Intervals

G. Demir oz, H A.Guvenir
Proceedings of 9th European Conference on Machine Learning. Prague: Springer- Verlag, • 1997
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Classi cation by Feature Par- titioning

H A.Guvenir, I. S irin
Machine Learning • 1996
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Inductive and Bayesian learning in medical diagnosis

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