<p>Development of a machine-learning enabled Safe Water Optimization Tool for humanitarian response</p>

Syed Imran Ali; Jean-François Fesselet; Matt Arnold; Usman Khan; Syed Saad Ali; Mike Spendlove; Apostolos  Vasileiou; Michael De Santi; Rahma Shakir; Dalia Adler; James Orbinski

doi:10.7490/f1000research.1117910.1

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Ali SI, Fesselet JF, Arnold M et al. Development of a machine-learning enabled Safe Water Optimization Tool for humanitarian response [version 1; not peer reviewed]. F1000Research 2020, 9:442 (slides) (https://doi.org/10.7490/f1000research.1117910.1)

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Development of a machine-learning enabled Safe Water Optimization Tool for humanitarian response

Syed Imran Ali¹, Jean-François Fesselet, Matt Arnold, Usman Khan, Syed Saad Ali, Mike Spendlove, Apostolos Vasileiou, Michael De Santi, Rahma Shakir, Dalia Adler, James Orbinski

Published 26 May 2020 (https://doi.org/10.7490/f1000research.1117910.1)

Author Affiliations

¹ Dahdaleh Institute for Global Health Research, Canada

Copyright © 2020 Ali SI 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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Published 26 May 2020

Development of a machine-learning enabled Safe Water Optimization Tool for humanitarian response
[version 1; not peer reviewed]

Syed Imran Ali¹, Jean-François Fesselet, Matt Arnold, Usman Khan, Syed Saad Ali, Mike Spendlove, Apostolos Vasileiou, Michael De Santi, Rahma Shakir, Dalia Adler, James Orbinski

Author Affiliations

¹ Dahdaleh Institute for Global Health Research, Canada

Presented at

Médecins Sans Frontières (MSF) Scientific Days International (London) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

AI, artificial intelligence, water, humanitarian, safe water, chlorination, MSF

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