<p>A ML ALS survival model lacking vital capacity for use in clinical trials during the COVID-19 Pandemic</p>

Danielle  Beaulieu; Jonavelle Cuerdo; David L Ennist

doi:10.7490/f1000research.1118465.1

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Beaulieu D, Cuerdo J and Ennist DL. A ML ALS survival model lacking vital capacity for use in clinical trials during the COVID-19 Pandemic [version 1; not peer reviewed]. F1000Research 2020, 9:1505 (poster) (https://doi.org/10.7490/f1000research.1118465.1)

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A ML ALS survival model lacking vital capacity for use in clinical trials during the COVID-19 Pandemic

Danielle Beaulieu, Jonavelle Cuerdo, David L Ennist¹

Published 31 Dec 2020 (https://doi.org/10.7490/f1000research.1118465.1)

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Copyright © 2020 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 31 Dec 2020

A ML ALS survival model lacking vital capacity for use in clinical trials during the COVID-19 Pandemic
[version 1; not peer reviewed]

Danielle Beaulieu, Jonavelle Cuerdo, David L Ennist¹

Author Affiliations

¹ Origent Data Sciences, Inc., USA

Presented at

31st International Symposium on ALS/MND, 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

amyotrophic lateral sclerosis, machine learning, vital capacity, Covid19

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