Po-Lin CHEN,Cheng-Yu TSAI,Bing-Ze LU,Yu-Chen SHU,Nai-Ying KO,Chun-Yin YEH,Wen-Chien KO,Kun-Ta CHUANG,Hung-Yu KAO
申请号：
US16664938
公开号：
US20200211707A1
申请日:
2019.10.27
申请国别(地区):
US
年份:
2020
代理人:
摘要：
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.
