infrared_thermography_temperature

The Infrared Thermography Temperature Dataset contains temperatures read from various locations of inferred images about patients, with the addition of oral temperatures measured for each individual. The 33 features consist of gender, age, ethnicity, ambiant temperature, humidity, distance, and other temperature readings from the thermal images. The dataset is intended to be used in a regression task to predict the oral temperature using the environment information as well as the thermal image readings. - gender - age - ethnicity - ambiant temperature - humidity - distance - temperature readings from the thermal images Class Labels The class labels for the regression task are either the oral temperature measured in fast mode (aveOralF) or the temperature measured in monitor mode (aveOralM). For this dataset the target feature is 'aveOralF' and 'aveOralM' is dropped from the dataset.