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Variational Autoencoder Modular Bayesian Networks (VAMBN) for Simulation of Heterogeneous Clinical Study Data

2019-09-08

Abstract excerpt

In the area of Big Data one of the major obstacles for the progress of biomedical research is the existence of data “silos”, because legal and ethical constraints often do not allow for sharing sensitive patient data from clinical studies across institutions. While federated machine learning now allows for building models from scattered data, there is still the need to investigate, mine and understand clinical dat...

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Literature Corpus work
c20184e3-05d3-5361-a7cd-6fb19287f2d2
DOI
10.1101/760744
Open publication

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Variational Autoencoder Modular Bayesian Networks (VAMBN) for Simulation of Heterogeneous Clinical Study DataDOI 10.1101/760744
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