<p>Predicting arrhythmia with Random Forest</p>

Wojciech Lesiński; Agnieszka Kitlas Golińska; Aneta Polewko-Klim; Andrzej Przybylski; Witold R.  Rudnicki

doi:10.7490/f1000research.1113009.1

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Lesiński W, Golińska AK, Polewko-Klim A et al. Predicting arrhythmia with Random Forest [version 1; not peer reviewed]. F1000Research 2016, 5:2175 (poster) (https://doi.org/10.7490/f1000research.1113009.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Predicting arrhythmia with Random Forest

Wojciech Lesiński¹, Agnieszka Kitlas Golińska¹, Aneta Polewko-Klim, Andrzej Przybylski, Witold R. Rudnicki

Published 02 Sep 2016 (https://doi.org/10.7490/f1000research.1113009.1)

Author Affiliations

¹ University of Białystok, Poland

Copyright © 2016 Lesiński W et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Sep 2016

Predicting arrhythmia with Random Forest
[version 1; not peer reviewed]

Wojciech Lesiński¹, Agnieszka Kitlas Golińska¹, Aneta Polewko-Klim, Andrzej Przybylski, Witold R. Rudnicki

Author Affiliations

¹ University of Białystok, Poland

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Arrhythmia, Random Forest, machine learning

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