Article

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

2019-07-31

Abstract excerpt

<title>Abstract</title> <p>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 prediction of future acute adverse events from electronic health records (EHR), taking the prediction of the risk of future acute kidney injury (AKI) as a...

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Literature Corpus work: c1a0f4f0-77fc-57d6-ac30-55840e1502ba
DOI: 10.21203/rs.2.10083/v1

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