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Article

Learning a confidence score and the latent space of a new Supervised Autoencoder for diagnosis and prognosis in clinical metabolomic studies

2022-03-24

Abstract excerpt

<h4>Background: </h4> Presently, there is a wide variety of classification methods and deep neural networks approaches in bioinformatics. Deep neural networks have proven their effectiveness for classification tasks, and have outperformed classical methods, but they suffer from a lack of interpretability. Therefore, these innovative methods are not appropriate for decision support systems in healthcare. The algori...

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Literature Corpus work
084f5eb1-df34-56fe-b95d-b05bcd24c94a
DOI
10.21203/rs.3.rs-1460785/v1
Open publication

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Learning a confidence score and the latent space of a new Supervised Autoencoder for diagnosis and prognosis in clinical metabolomic studiesDOI 10.21203/rs.3.rs-1460785/v1
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