Author: Zhao, Chun-Hong; Wu, Hui-Tao; Che, He-Bin; Song, Ya-Nan; Zhao, Yu-Zhuo; Li, Kai-Yuan; Xiao, Hong-Ju; Zhai, Yong-Zhi; Liu, Xin; Lu, Hong-Xi; Li, Tan-Shi
Title: Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study Document date: 2020_3_5
ID: tk3861u0_7
Snippet: All data elements for each ED visit were obtained from the Emergency Rescue Database of Chinese People's Liberation Army General Hospital. After the first measurement of body temperature greater than 37.2°C during the ED visit, sign values and test values were collected. But only the first set of data obtained or generated within 24 h of the ED visit were used as prediction variables. Structured query language queries were written to identify an.....
Document: All data elements for each ED visit were obtained from the Emergency Rescue Database of Chinese People's Liberation Army General Hospital. After the first measurement of body temperature greater than 37.2°C during the ED visit, sign values and test values were collected. But only the first set of data obtained or generated within 24 h of the ED visit were used as prediction variables. Structured query language queries were written to identify and abstract all demographic information (eg, age and sex) and ED health status (eg, vital signs and laboratory result values). Extraction and screening of variables indicators included vital signs, blood routine, blood biochemistry, coagulation function, and arterial blood gas score analysis, screening of key indicators, and completion of prediction model.
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