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Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise.

作者信息

Driggs Derek, Selby Ian, Roberts Michael, Gkrania-Klotsas Effrossyni, Rudd James H F, Yang Guang, Babar Judith, Sala Evis, Schönlieb Carola-Bibiane

机构信息

Department of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).

出版信息

Radiol Artif Intell. 2021 Mar 24;3(4):e210011. doi: 10.1148/ryai.2021210011. eCollection 2021 Jul.

Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/8262253/f33b9324aeed/ryai.2021210011.fig1.jpg

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