Using Machine Learning for Depression Detection Based on Gut Microbiome

Hana Selmani; Mai Oudah

doi:10.1007/978-3-031-87873-2_17

Using Machine Learning for Depression Detection Based on Gut Microbiome

Hana Selmani, Mai Oudah

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Major Depressive Disorder (MDD), commonly known as Depression, is a mood disorder characterized by persistent feelings of sadness or disinterest. Given the increasing rates of depression, a pressing demand exists for efficient, cost-effective, and accessible methods of depression detection. Traditional psychiatric diagnoses can be time-consuming, costly, and inaccessible for a large portion of the population given their health insurance/plan. In this study, we utilize machine learning to construct a predictive model built on gut microbiome data for the purpose of depression screening. A key part of the pipeline is the use of feature selection/engineering methods for optimization of the feature space as well as the identification of biomarkers. Our experiments show promising results for depression screening using gut microbiome data. We achieve area under ROC score of 0.991, when using Bagging Naive Bayes model with CFS selection method. Furthermore, we identify potential discriminatory and informative biomarkers associated with MDD.

Original language	English (US)
Title of host publication	Practical Applications of Computational Biology and Bioinformatics, 18th International Conference, PACBB 2024
Editors	Sara Cuadrado, Florentino Fdez-Riverola, Ángel Canal Alonso, Miguel Rocha, Mohd Saberi Mohamad, Ana Belén Gil-González
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	163-172
Number of pages	10
ISBN (Print)	9783031878725
DOIs	https://doi.org/10.1007/978-3-031-87873-2_17
State	Published - 2025
Event	18th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2024 - Salamanca, Spain Duration: Jun 26 2024 → Jun 28 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1350 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	18th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2024
Country/Territory	Spain
City	Salamanca
Period	6/26/24 → 6/28/24

Keywords

Feature Engineering
Feature Selection
Gut Microbiome
Machine-Learning
Major Depressive Disorder

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-031-87873-2_17

Cite this

Selmani, H., & Oudah, M. (2025). Using Machine Learning for Depression Detection Based on Gut Microbiome. In S. Cuadrado, F. Fdez-Riverola, Á. C. Alonso, M. Rocha, M. S. Mohamad, & A. B. Gil-González (Eds.), Practical Applications of Computational Biology and Bioinformatics, 18th International Conference, PACBB 2024 (pp. 163-172). (Lecture Notes in Networks and Systems; Vol. 1350 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-87873-2_17

Using Machine Learning for Depression Detection Based on Gut Microbiome. / Selmani, Hana; Oudah, Mai.
Practical Applications of Computational Biology and Bioinformatics, 18th International Conference, PACBB 2024. ed. / Sara Cuadrado; Florentino Fdez-Riverola; Ángel Canal Alonso; Miguel Rocha; Mohd Saberi Mohamad; Ana Belén Gil-González. Springer Science and Business Media Deutschland GmbH, 2025. p. 163-172 (Lecture Notes in Networks and Systems; Vol. 1350 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Selmani, H & Oudah, M 2025, Using Machine Learning for Depression Detection Based on Gut Microbiome. in S Cuadrado, F Fdez-Riverola, ÁC Alonso, M Rocha, MS Mohamad & AB Gil-González (eds), Practical Applications of Computational Biology and Bioinformatics, 18th International Conference, PACBB 2024. Lecture Notes in Networks and Systems, vol. 1350 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 163-172, 18th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2024, Salamanca, Spain, 6/26/24. https://doi.org/10.1007/978-3-031-87873-2_17

Selmani H, Oudah M. Using Machine Learning for Depression Detection Based on Gut Microbiome. In Cuadrado S, Fdez-Riverola F, Alonso ÁC, Rocha M, Mohamad MS, Gil-González AB, editors, Practical Applications of Computational Biology and Bioinformatics, 18th International Conference, PACBB 2024. Springer Science and Business Media Deutschland GmbH. 2025. p. 163-172. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-87873-2_17

Selmani, Hana ; Oudah, Mai. / Using Machine Learning for Depression Detection Based on Gut Microbiome. Practical Applications of Computational Biology and Bioinformatics, 18th International Conference, PACBB 2024. editor / Sara Cuadrado ; Florentino Fdez-Riverola ; Ángel Canal Alonso ; Miguel Rocha ; Mohd Saberi Mohamad ; Ana Belén Gil-González. Springer Science and Business Media Deutschland GmbH, 2025. pp. 163-172 (Lecture Notes in Networks and Systems).

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