A machine-learning-derived online prediction model based on inflammatory and nutritional composite indicators for acute kidney injury in sepsis patients with multiple myeloma.

Zhang Q, Xin Q, Guo H

DOI: 10.3389/fnut.2026.1874801
Published: 2026
Container: Frontiers in nutrition
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnut.2026.1874801,
  title = {A machine-learning-derived online prediction model based on inflammatory and nutritional composite indicators for acute kidney injury in sepsis patients with multiple myeloma.},
  author = {Zhang Q and Xin Q and Guo H},
  year = {2026},
  journal = {Frontiers in nutrition},
  doi = {10.3389/fnut.2026.1874801},
  url = {https://doi.org/10.3389/fnut.2026.1874801}
}

RIS

TY  - JOUR
TI  - A machine-learning-derived online prediction model based on inflammatory and nutritional composite indicators for acute kidney injury in sepsis patients with multiple myeloma.
AU  - Zhang Q
AU  - Xin Q
AU  - Guo H
PY  - 2026
JO  - Frontiers in nutrition
DO  - 10.3389/fnut.2026.1874801
UR  - https://doi.org/10.3389/fnut.2026.1874801
ER  -

APA

Q, Z., Q, X., & H, G. (2026). A machine-learning-derived online prediction model based on inflammatory and nutritional composite indicators for acute kidney injury in sepsis patients with multiple myeloma.. Frontiers in nutrition. https://doi.org/10.3389/fnut.2026.1874801

Source records

pubmed · retrieved 2026-09-25T11:18:24.880Z