TherLid: A Thermometry Linked Dataset

A recent study showed that infrared (IR) sensors may be prone to calibration
discrepancies among darker-pigmented patients. Similar disparities have
already been verified in pulse oximetry. This raises questions about whether
thermometry measurements may inadvertently overlook hypothermia, fever, or
sepsis cases, potentially leading to delayed diagnoses and ultimately
exacerbating poorer outcomes among vulnerable subpopulations.

TherLiD is a derived dataset from 3 Electronic Health Record databases: MIMIC-
IV, eICU-CRD-1, and eICU-CRD-2. It consists of 13,251 temperature pairs, along
with comprehensive demographic data and time-synchronized hospital
information, offering a detailed profile of each patient. These pairs have one
reference (contact thermometers - oral, core, and rectal) and one infrared-
based (temporal) temperature value measured within a 1-hour time window, with
temperature values between 30°C to 45°C. TherLiD not only provides high-
quality, clinically relevant data but also offers a reproducible framework,
allowing researchers to tailor the dataset to their specific research needs,
including training machine learning models. This dataset was also built to
facilitate temperature-related retrospective studies and promote research on
racial and ethnic healthcare disparities.