App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

<h4>Background</h4>Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of symptoms to build a predictive model...

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Main Authors: Leila F Dantas, Igor T Peres, Leonardo S L Bastos, Janaina F Marchesi, Guilherme F G de Souza, João Gabriel M Gelli, Fernanda A Baião, Paula Maçaira, Silvio Hamacher, Fernando A Bozza
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0248920&type=printable
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0248920&type=printable

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