Abstract: A system for predicting types of pathogens in patients with septicemia is provided. The system includes at least one sensor and a processor. The sensor is used to sense current physiological data including at least one of body temperature, blood pressure, and pulse. The processor is configured to calculate at least one feature value according to the current physiological data, and input the feature value into a machine learning model to determine one of categories including at least two of uninfected, fungal infected, contaminated bacteria infected, Gram-negative infected, and Gram-positive infected.

Abstract: A system for enhancing accuracy of body surface temperature measurement includes: a core body temperature sensor configured to obtain a core body temperature data of a user, a heart rate sensor configured to obtain a heart rate data of the user, a physical indicator sensor configured to obtain at least one physical indicator of the user, a body surface temperature sensor configured to obtain a body surface temperature data of the user, an environment temperature sensor configured to obtain an environment temperature data, a humidity sensor configured to obtain an environment humidity data, and a processor. The processor is configured to calculate a representative feature temperature data of the user according to the core temperature data, the heart rate data, the at least one physical indicator, the body surface temperature data, the environment temperature data, and the environment humidity data.