<p>Validation of a Suite of Machine Learning Models using the Longitudinal VITALITY-ALS Data Set</p>

Danielle Beaulieu; Jonavelle  Cuerdo; Albert A. Taylor; Andrew Conklin; Amy  Bian; Lisa Meng; Andrew A. Wolff; David L. Ennist

doi:10.7490/f1000research.1116358.1

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Beaulieu D, Cuerdo J, Taylor AA et al. Validation of a Suite of Machine Learning Models using the Longitudinal VITALITY-ALS Data Set [version 1; not peer reviewed]. F1000Research 2018, 7:1944 (poster) (https://doi.org/10.7490/f1000research.1116358.1)

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

Validation of a Suite of Machine Learning Models using the Longitudinal VITALITY-ALS Data Set

Danielle Beaulieu, Jonavelle Cuerdo, Albert A. Taylor, Andrew Conklin, Amy Bian, Lisa Meng, Andrew A. Wolff, David L. Ennist¹

Published 18 Dec 2018 (https://doi.org/10.7490/f1000research.1116358.1)

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Copyright © 2018 Beaulieu D 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 18 Dec 2018

Validation of a Suite of Machine Learning Models using the Longitudinal VITALITY-ALS Data Set
[version 1; not peer reviewed]

Danielle Beaulieu, Jonavelle Cuerdo, Albert A. Taylor, Andrew Conklin, Amy Bian, Lisa Meng, Andrew A. Wolff, David L. Ennist¹

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Presented at

29th International Symposium on ALS/MND 2018

Competing Interests

No competing interests were disclosed

Keywords

ALS, Machine learning, model validation

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