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Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies.

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Bibliographic Details
Title:	Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies.
Authors:	Sato, Raito¹ (AUTHOR), Ito, Naoki² (AUTHOR), Kadomatsu, Sakina³ (AUTHOR), Hanioka, Norikazu¹ (AUTHOR), Nakajima, Mikio^4,5 (AUTHOR), Goto, Tadahiro^6,7 (AUTHOR) tag695@mail.harvard.edu
Source:	PLoS ONE. 10/21/2025, Vol. 20 Issue 10, p1-10. 10p.
Database:	Academic Search Ultimate
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Description
ISSN:	19326203
DOI:	10.1371/journal.pone.0334350