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Machine Learning for COVID-19 needs global collaboration and data-sharing
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2020-05-22 , DOI: 10.1038/s42256-020-0181-6 Nathan Peiffer-Smadja , Redwan Maatoug , François-Xavier Lescure , Eric D’Ortenzio , Joëlle Pineau , Jean-Rémi King
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2020-05-22 , DOI: 10.1038/s42256-020-0181-6 Nathan Peiffer-Smadja , Redwan Maatoug , François-Xavier Lescure , Eric D’Ortenzio , Joëlle Pineau , Jean-Rémi King
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.
中文翻译:
COVID-19的机器学习需要全球协作和数据共享
COVID-19大流行给社会带来了历史性挑战。大量的数据需要机器学习来改善和加速COVID-19的诊断,预后和治疗。但是,必须采用全局和开放的方法来避免这些应用程序中的陷阱。
更新日期:2020-05-22
中文翻译:
COVID-19的机器学习需要全球协作和数据共享
COVID-19大流行给社会带来了历史性挑战。大量的数据需要机器学习来改善和加速COVID-19的诊断,预后和治疗。但是,必须采用全局和开放的方法来避免这些应用程序中的陷阱。