Genomic and Machine Learning Approaches for Predicting Gut-Microbe Infections in Preterm Infants: A Systematic Review of African Studies
- DOI
- 10.21203/rs.3.rs-8910748/v1
- Published
- 2026-02-22
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- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-8910748/v1,
title = {Genomic and Machine Learning Approaches for Predicting Gut-Microbe Infections in Preterm Infants: A Systematic Review of African Studies},
author = {Akinjide Anifowose and Temitope Esther Olajide and Tomilayo Fadairo Oluwaseun and Mayode Mercy Akintola},
year = {2026},
doi = {10.21203/rs.3.rs-8910748/v1},
url = {https://doi.org/10.21203/rs.3.rs-8910748/v1}
}RIS
TY - JOUR TI - Genomic and Machine Learning Approaches for Predicting Gut-Microbe Infections in Preterm Infants: A Systematic Review of African Studies AU - Akinjide Anifowose AU - Temitope Esther Olajide AU - Tomilayo Fadairo Oluwaseun AU - Mayode Mercy Akintola PY - 2026 DO - 10.21203/rs.3.rs-8910748/v1 UR - https://doi.org/10.21203/rs.3.rs-8910748/v1 ER -
APA
Anifowose, A., Olajide, T. E., Oluwaseun, T. F., & Akintola, M. M. (2026). Genomic and Machine Learning Approaches for Predicting Gut-Microbe Infections in Preterm Infants: A Systematic Review of African Studies. https://doi.org/10.21203/rs.3.rs-8910748/v1
Source records
- crossref · retrieved 2026-11-08T06:15:41.856Z