Machine Learning for COVID-19 needs global collaboration and data-sharing

Nathan Peiffer‐Smadja, Redwan Maatoug, François-Xavier Lescure, Éric D’Ortenzio, Joëlle Pineau, Jean-Rémi King

Nature Machine Intelligence · 2020 · 76 citations · 11 references

DOIFull text

Open access

Concepts

Abstract

The COVID-19 pandemic poses a historical challenge to society. The profusion of data requires machine learning to improve and accelerate COVID-19 diagnosis, prognosis and treatment. However, a global and open approach is necessary to avoid pitfalls in these applications.

References

11