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

Overview of attention for article published in BMC Bioinformatics, September 2022

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So far, Dimensions has found 6 publications that cite this research output.

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Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data

Article in Computational and Structural Biotechnology Journal (March 2024)

AI-Assisted Identification of Primary and Secondary Metabolomic Markers for Post-Operative Delirium

Preprint in Research Square (March 2024)

Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data

Preprint in bioRxiv (December 2023)

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