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Machine Learning for Compositional Microbiome Data to Predict a Clinical Outcome: Are Interpretable Methods Up to the Task?

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Pattern Recognition Systems (ICPRS)

DOI: 10.1109/icprs66293.2025.11302842

Authors: Céline Hosteins, Marta Avalos, Diego Kauer, Cristian Meza, Laurence Delhaes, Raphaël Enaud

Institutions: Institut national de recherche en sciences et technologies du numérique, Université de Bordeaux, Inserm, Bordeaux Population Health, SISTM: Statistics In System biology and Translational Medicine, University of Chile, University of Valparaíso, Centre Hospitalier Universitaire de Bordeaux, Hôpital Pellegrin, Hôpital Xavier Arnozan, Centre de Recherche Cardio-Thoracique de Bordeaux, Plateforme Technologique d'Innovation Biomédicale

Language: English

Topic: Gut microbiota and health

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4416557483

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