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_6
Snippet: This study retrospectively analyzed the clinical data of 28,400 patients admitted to the emergency room from November 2014 to March 2018. Diagnostic criteria: fever was defined as axillary body temperature equal to or greater than 37.3°C. Inclusion criteria was fever (body temperature ≥37.3°C) and age ≥l2 years. Exclusion criteria: Patients who died shortly after admission (less than 4 h after admission) and failed to complete laboratory ex.....
Document: This study retrospectively analyzed the clinical data of 28,400 patients admitted to the emergency room from November 2014 to March 2018. Diagnostic criteria: fever was defined as axillary body temperature equal to or greater than 37.3°C. Inclusion criteria was fever (body temperature ≥37.3°C) and age ≥l2 years. Exclusion criteria: Patients who died shortly after admission (less than 4 h after admission) and failed to complete laboratory examination. The included patients were divided into the fatal adverse prognosis group and the good prognosis group. Definition: Adverse prognosis group included the patients who experienced cardiopulmonary resuscitation or died during emergency treatment, while good prognosis group included those who did not die during treatment in emergency room and did not undergo cardiopulmonary resuscitation, electric defibrillation, endotracheal intubation, tracheotomy and ventilator assisted respiration.
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