Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review.
- DOI
- 10.1186/s12879-025-11423-2
- Published
- 2025 Oct 23
- Container
- BMC infectious diseases
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12879-025-11423-2,
title = {Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review.},
author = {Zubair M and Din I and Sarwar N and Elov B and Makhmudov S and Trabelsi Z},
year = {2025},
journal = {BMC infectious diseases},
doi = {10.1186/s12879-025-11423-2},
url = {https://doi.org/10.1186/s12879-025-11423-2}
}RIS
TY - JOUR TI - Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review. AU - Zubair M AU - Din I AU - Sarwar N AU - Elov B AU - Makhmudov S AU - Trabelsi Z PY - 2025 JO - BMC infectious diseases DO - 10.1186/s12879-025-11423-2 UR - https://doi.org/10.1186/s12879-025-11423-2 ER -
APA
M, Z., I, D., N, S., B, E., S, M., & Z, T. (2025). Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review.. BMC infectious diseases. https://doi.org/10.1186/s12879-025-11423-2
Source records
- pubmed · retrieved 2026-09-27T00:21:47.065Z