Data for: Defining usual oral temperature ranges in outpatients using an unsupervised learning algorithm

Importance: Although oral temperature is commonly assessed in medical examinations, the range of usual or “normal” temperature is poorly defined.
Objective: To determine normal oral temperature ranges by age, sex, height, weight and time of day.
Design: We applied a filtering algorithm (LIMIT) to 10 years of outpatient temperature measurements. LIMIT iteratively removed encounters with primary diagnoses overrepresented in the tails of the temperature distribution, leaving only those diagnoses unrelated to temperature. Mixed effects modeling was applied to the remaining temperature measurements to identify independent predictors of normal oral temperature and to generate individualized normal temperature ranges.
Setting: Single large medical care system, divisions of Internal Medicine and Family Medicine.
Participants: All adult outpatient encounters that included temperature measurements, April 2008 - June 2017.
Exposures: Primary diagnoses and medications, age, sex, height, weight, tim..., From the Stanford Research Repository (STARR, also known as STRIDE), we identified all adult outpatient encounters that included temperature measurements from April 2008 through June 2017 in the Divisions of Internal Medicine and Family Medicine within Stanford Health Care (Stanford, CA). Oral temperature, the date and time of the temperature measurement, age, sex, weight, height, body mass index (BMI), primary reason for the visit, prescribed medications, and all visit ICD-10 codes were identified from each encounter. An individual patient could have multiple encounters.
After identifying ineligible encounters in STARR, we applied a filtering algorithm, LIMIT, which iteratively removed encounters with primary diagnoses overrepresented in the tails of the temperature distribution, leaving only those diagnoses unrelated to temperature.
Three subsets are specified:  (1) \"Baseline\" or STARR/STRIDE encounters (those excluded from consideration by LIMIT due to extreme or missing variables, o..., The datafile is a compressed CSV file.