[HTML][HTML] Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study

N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham… - 2019 - researchsquare.com
Early detection of patient deterioration is key to unlocking the potential for targeted
preventative care and improving patient outcomes. This protocol describes a workflow for …

Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study

N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham… - 2019 - europepmc.org
Early detection of patient deterioration is key to unlocking the potential for targeted
preventative care and improving patient outcomes. This protocol describes a workflow for …

[引用][C] Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study

N Tomašev, L DeepMind, UKX Glorot, UKJW Rae…