In-silico credibility assessment of a computational physiological model for non-invasive monitoring of respiratory effort in critically ill patients.

Warnaar RSP, Geraats S, Cornet AD, Aarts RGKM, Graßhoff J, Donker DW, Oppersma E

Open source

DOI
10.1088/1361-6579/aea685
Published
2026 Sep 25
Container
Physiological measurement
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.1088/1361-6579/aea685,
  title = {In-silico credibility assessment of a computational physiological model for non-invasive monitoring of respiratory effort in critically ill patients.},
  author = {Warnaar RSP and Geraats S and Cornet AD and Aarts RGKM and Graßhoff J and Donker DW and Oppersma E},
  year = {2026},
  journal = {Physiological measurement},
  doi = {10.1088/1361-6579/aea685},
  url = {https://doi.org/10.1088/1361-6579/aea685}
}

RIS

TY  - JOUR
TI  - In-silico credibility assessment of a computational physiological model for non-invasive monitoring of respiratory effort in critically ill patients.
AU  - Warnaar RSP
AU  - Geraats S
AU  - Cornet AD
AU  - Aarts RGKM
AU  - Graßhoff J
AU  - Donker DW
AU  - Oppersma E
PY  - 2026
JO  - Physiological measurement
DO  - 10.1088/1361-6579/aea685
UR  - https://doi.org/10.1088/1361-6579/aea685
ER  - 

APA

RSP, W., S, G., AD, C., RGKM, A., J, G., DW, D., & E, O. (2026). In-silico credibility assessment of a computational physiological model for non-invasive monitoring of respiratory effort in critically ill patients.. Physiological measurement. https://doi.org/10.1088/1361-6579/aea685

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