Development and validation of an interpretable machine-learning model for predicting treatment failure in severe trauma patients.

Shi Q, Liu Y, Shen J, Yin F, Qiao Z, Shen X, Zhou J, Xu D, Zhang T, Xu C.

Open source

DOI: 10.3389/fmed.2026.1919742
Published: 2026-09-07
Container: Front Med (Lausanne)
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3389/fmed.2026.1919742,
  title = {Development and validation of an interpretable machine-learning model for predicting treatment failure in severe trauma patients.},
  author = {Shi Q and  Liu Y and  Shen J and  Yin F and  Qiao Z and  Shen X and  Zhou J and  Xu D and  Zhang T and  Xu C.},
  year = {2026},
  journal = {Front Med (Lausanne)},
  doi = {10.3389/fmed.2026.1919742},
  url = {https://doi.org/10.3389/fmed.2026.1919742}
}

RIS

TY  - JOUR
TI  - Development and validation of an interpretable machine-learning model for predicting treatment failure in severe trauma patients.
AU  - Shi Q
AU  -  Liu Y
AU  -  Shen J
AU  -  Yin F
AU  -  Qiao Z
AU  -  Shen X
AU  -  Zhou J
AU  -  Xu D
AU  -  Zhang T
AU  -  Xu C.
PY  - 2026
JO  - Front Med (Lausanne)
DO  - 10.3389/fmed.2026.1919742
UR  - https://doi.org/10.3389/fmed.2026.1919742
ER  -

APA

Q, S., Y, L., J, S., F, Y., Z, Q., X, S., J, Z., D, X., T, Z., & C., X. (2026). Development and validation of an interpretable machine-learning model for predicting treatment failure in severe trauma patients.. Front Med (Lausanne). https://doi.org/10.3389/fmed.2026.1919742

Source records

europe-pmc · retrieved 2026-09-25T11:31:55.576Z
doaj · retrieved 2026-09-25T11:31:55.562Z