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Demonstrating the Consequences of Learning Missingness Patterns in Early Warning Systems for Preventative Health Care: A Novel Simulation and Solution

2020-06-07

Abstract excerpt

When using tree-based methods to develop predictive analytics and early warning systems for preventive healthcare, it is important to use an appropriate imputation method to prevent learning the missingness pattern. To demonstrate this, we developed a novel simulation that generated synthetic electronic health record data using a variational autoencoder with a custom loss function, which took into account the high...

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Literature Corpus work
28ef5a7a-ab2b-5726-aecb-dd38eaf861d4
DOI
10.1101/2020.06.05.20123323
Open publication

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Demonstrating the Consequences of Learning Missingness Patterns in Early Warning Systems for Preventative Health Care: A Novel Simulation and SolutionDOI 10.1101/2020.06.05.20123323
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