Machine Learning-based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures.

Li H, Jin YT, Ye DX, Liu Q, Su X, Zhang HQ, Yang H.

DOI: 10.1049/syb2.70056
Published: 2026-01-01
Container: IET Syst Biol
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1049/syb2.70056,
  title = {Machine Learning-based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures.},
  author = {Li H and  Jin YT and  Ye DX and  Liu Q and  Su X and  Zhang HQ and  Yang H.},
  year = {2026},
  journal = {IET Syst Biol},
  doi = {10.1049/syb2.70056},
  url = {https://doi.org/10.1049/syb2.70056}
}

RIS

TY  - JOUR
TI  - Machine Learning-based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures.
AU  - Li H
AU  -  Jin YT
AU  -  Ye DX
AU  -  Liu Q
AU  -  Su X
AU  -  Zhang HQ
AU  -  Yang H.
PY  - 2026
JO  - IET Syst Biol
DO  - 10.1049/syb2.70056
UR  - https://doi.org/10.1049/syb2.70056
ER  -

APA

H, L., YT, J., DX, Y., Q, L., X, S., HQ, Z., & H., Y. (2026). Machine Learning-based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures.. IET Syst Biol. https://doi.org/10.1049/syb2.70056

Source records

europe-pmc · retrieved 2026-09-27T02:24:39.627Z