<p>Machine learning model for the prediction of slow vital capacity</p>

Samad Jahandideh; Albert A.  Taylor; Amy Bian; Lisa Meng; Danielle Beaulieu; Mike Keymer; Jinsy Andrews; David L. Ennist

doi:10.7490/f1000research.1113590.1

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Jahandideh S, Taylor AA, Bian A et al. Machine learning model for the prediction of slow vital capacity [version 1; not peer reviewed]. F1000Research 2017, 6:8 (poster) (https://doi.org/10.7490/f1000research.1113590.1)

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Machine learning model for the prediction of slow vital capacity

Samad Jahandideh, Albert A. Taylor , Amy Bian, Lisa Meng, Danielle Beaulieu, Mike Keymer , Jinsy Andrews, David L. Ennist¹

Published 04 Jan 2017 (https://doi.org/10.7490/f1000research.1113590.1)

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Copyright © 2017 Jahandideh S 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 04 Jan 2017

Machine learning model for the prediction of slow vital capacity
[version 1; not peer reviewed]

Samad Jahandideh, Albert A. Taylor , Amy Bian, Lisa Meng, Danielle Beaulieu, Mike Keymer , Jinsy Andrews, David L. Ennist¹

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Presented at

27th International Symposium on ALS/MND 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

amyotrophic lateral sclerosis, ALS, machine learning, FZVC, SVC

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