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.