Abstract
OBJECTIVES: To develop an objective evaluation algorithm for assessing the seriality of infrared thermograms for the auxiliary diagnosis of diseases, and to internally validate the algorithm using metabolic syndrome (MS) as a case example. METHODS: A total of 266 healthy participants (133 of each sex) and 180 patients with MS (133 males and 47 females) were retrospectively enrolled. Infrared thermograms were randomly divided into a training set and a validation set at a ratio of 3:1. According to the algorithm proposed in this article, the thermal sequence values of patients with MS were calculated and compared between the two groups. The area under the curve (AUC) was computed to evaluate the diagnostic performance of thermogram seriality in MS detection. RESULTS: The established thermal sequence of healthy participants was as follows: T (palm)