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Use of Deep Learning to Develop Continuous-Risk Models for Adverse Event Prediction from Electronic Health Records

Nenad Tomašev,Natalie Harris,Sebastien Baur,Anne Mottram,Xavier Glorot,Jack W. Rae,Michal Zielinski,Harry Askham,Andre Saraiva, Valerio Magliulo,Clemens Meyer,Suman Ravuri,Ivan Protsyuk,Alistair Connell,Cían O. Hughes,Alan Karthikesalingam,Julien Cornebise,Hugh Montgomery,Geraint Rees,Chris Laing,Clifton R. Baker,Thomas F. Osborne,Ruth Reeves,Demis Hassabis,Dominic King,Mustafa Suleyman,Trevor Back,Christopher Nielson,Martin G. Seneviratne,Joseph R. Ledsam,Shakir Mohamed

Nature Protocols（2021）

Cited 39|Views34
Key words
Machine learning,Predictive markers,Software,Translational research,Life Sciences,general,Biological Techniques,Analytical Chemistry,Microarrays,Computational Biology/Bioinformatics,Organic Chemistry
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