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Machine Learning for the Analysis of Human Microbiome in Inflammatory Bowel Diseases: Literature Review

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New Technologies, Artificial Intelligence and Smart Data (INTIS 2022, INTIS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1728))

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Abstract

The pathogenesis of inflammatory bowel disease is related to the imbalance of microbial community composition. A reduction in the diversity of the intestinal microbiota as well as specific taxonomic and functional shifts have been reported in inflammatory bowel diseases and may play a central role in the inflammatory process. The aim was to review recent developments in the structural and functional changes observed in the gastrointestinal microbiome in patients with inflammatory bowel diseases and to survey the use of machine learning to discover the microbiome in inflammatory bowel disease. We start by highlighting the relationship between gut microbiome disorder with inflammatory bowel disease including different studies that confirmed this association, then, we provide an overview of the use of Machine Learning in analyzing the microbiome in inflammatory bowel diseases.

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Authors and Affiliations

  1. Systems and Data Engineering Team ENSA, University Abdelmalek Essaadi, Tangier, Morocco

    Nouhaila En Najih & Pr. Ahmed Moussa

Authors
  1. Nouhaila En Najih
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  2. Pr. Ahmed Moussa
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Corresponding author

Correspondence to Nouhaila En Najih .

Editor information

Editors and Affiliations

  1. EMSI, Casablanca, Morocco

    Mohamed Tabaa

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Hassan Badir

  3. National Engineering School for Mechanics and Aerotechnics (ENSMA), Poitiers, France

    Ladjel Bellatreche

  4. University of Hassan II Casablanca, Casablanca, Morocco

    Azedine Boulmakoul

  5. University Grenoble Alpes, Saint-Martin-d'Hères, France

    Ahmed Lbath

  6. Lorraine University, Nancy, France

    Fabrice Monteiro

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En Najih, N., Moussa, P.A. (2024). Machine Learning for the Analysis of Human Microbiome in Inflammatory Bowel Diseases: Literature Review. In: Tabaa, M., Badir, H., Bellatreche, L., Boulmakoul, A., Lbath, A., Monteiro, F. (eds) New Technologies, Artificial Intelligence and Smart Data. INTIS INTIS 2022 2023. Communications in Computer and Information Science, vol 1728. Springer, Cham. https://doi.org/10.1007/978-3-031-47366-1_1

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  • DOI: https://doi.org/10.1007/978-3-031-47366-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-47365-4

  • Online ISBN: 978-3-031-47366-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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