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_13
Snippet: The data of 5549 patients with fever were obtained, of which 307 patients had fatal poor outcome event and 5242 had no adverse outcome event. The data contained a total of 70 variables. If certain variable was absent in more than 30% of the patients' data, it was removed, so the remaining part contained 39 variables. After deleting individuals with missing data, a total of 3474 patients who did not have adverse outcome events as control group, an.....
Document: The data of 5549 patients with fever were obtained, of which 307 patients had fatal poor outcome event and 5242 had no adverse outcome event. The data contained a total of 70 variables. If certain variable was absent in more than 30% of the patients' data, it was removed, so the remaining part contained 39 variables. After deleting individuals with missing data, a total of 3474 patients who did not have adverse outcome events as control group, and 208 patients who had fatal adverse outcome events were analyzed. In the baseline analysis, the statistical results of the resulting 39 variables are shown in Table 1 . In the hypothesis test analysis, the variables with statistical differences are shown in Table 1 .
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