Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies.
- DOI
- 10.1371/journal.pone.0334350
- Published
- 2025
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0334350,
title = {Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies.},
author = {Sato R and Ito N and Kadomatsu S and Hanioka N and Nakajima M and Goto T},
year = {2025},
journal = {PloS one},
doi = {10.1371/journal.pone.0334350},
url = {https://doi.org/10.1371/journal.pone.0334350}
}RIS
TY - JOUR TI - Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies. AU - Sato R AU - Ito N AU - Kadomatsu S AU - Hanioka N AU - Nakajima M AU - Goto T PY - 2025 JO - PloS one DO - 10.1371/journal.pone.0334350 UR - https://doi.org/10.1371/journal.pone.0334350 ER -
APA
R, S., N, I., S, K., N, H., M, N., & T, G. (2025). Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies.. PloS one. https://doi.org/10.1371/journal.pone.0334350
Source records
- pubmed · retrieved 2026-09-27T13:08:26.091Z