MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models

Pulse oximeters are medical devices used to assess peripheral arterial oxygen
saturation ( S p O 2 SpO_2 ) noninvasively. In contrast, the "gold standard"
requires arterial blood to be drawn to measure the arterial oxygen saturation
( S a O 2 SaO_2 ). Pulse oximeters currently on the market measure S p O 2
SpO_2 in populations with darker skin tones with lower accuracy. Pulse
oximetry inaccuracies can fail to detect episodes of hidden hypoxemia, i.e.,
low S a O 2 SaO_{2} with high S p O 2 SpO_2 . Hidden hypoxemias can result
in less treatment and increased mortality. Yet flawed, pulse oximeters remain
ubiquitously used because of their ease of use; debiasing the underlying
algorithms could alleviate the downstream repercussions of hidden hypoxemia.
The dataset supports the building of pulse oximetry correction models. Derived
from MIMIC-IV v2.2, it includes 81,797 Intensive Care Unit (ICU) S a O 2 − S
p O 2 SaO_2 - SpO_2 pairs.