Early Detection of Deep Tissue Pressure Injury in Intensive Care Using Hemodynamics-Based Machine Learning: A Retrospective Cohort Study.

Sengul T, Semiz B, Gursoy E, Yilmaz Akyaz D, Yavuz AD, Akyol YE, Ali Y, Cevizci T, Zeytun O, Lopez V, Kirkland-Kyhn H

Open source

DOI
10.1111/iwj.71025
Published
2026 Sep
Container
International wound journal
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1111/iwj.71025,
  title = {Early Detection of Deep Tissue Pressure Injury in Intensive Care Using Hemodynamics-Based Machine Learning: A Retrospective Cohort Study.},
  author = {Sengul T and Semiz B and Gursoy E and Yilmaz Akyaz D and Yavuz AD and Akyol YE and Ali Y and Cevizci T and Zeytun O and Lopez V and Kirkland-Kyhn H},
  year = {2026},
  journal = {International wound journal},
  doi = {10.1111/iwj.71025},
  url = {https://doi.org/10.1111/iwj.71025}
}

RIS

TY  - JOUR
TI  - Early Detection of Deep Tissue Pressure Injury in Intensive Care Using Hemodynamics-Based Machine Learning: A Retrospective Cohort Study.
AU  - Sengul T
AU  - Semiz B
AU  - Gursoy E
AU  - Yilmaz Akyaz D
AU  - Yavuz AD
AU  - Akyol YE
AU  - Ali Y
AU  - Cevizci T
AU  - Zeytun O
AU  - Lopez V
AU  - Kirkland-Kyhn H
PY  - 2026
JO  - International wound journal
DO  - 10.1111/iwj.71025
UR  - https://doi.org/10.1111/iwj.71025
ER  - 

APA

T, S., B, S., E, G., D, Y. A., AD, Y., YE, A., Y, A., T, C., O, Z., V, L., & H, K. (2026). Early Detection of Deep Tissue Pressure Injury in Intensive Care Using Hemodynamics-Based Machine Learning: A Retrospective Cohort Study.. International wound journal. https://doi.org/10.1111/iwj.71025

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