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Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines.

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第一作者： Qin,Li

第一单位： Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.;Department of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.

作者： Qin,Li ^[1] ; Nan,Lin ^[2] ; Zuheng,Wang ^[3] ; Yuexi,Chen ^[4] ; Yuli,Xie ^[5] ; Xuemei,Wang ^[6] ; Jirui,Tang ^[6] ; Yuling,Xu ^[7] ; Min,Xu ^[7] ; Na,Lu ^[7] ; Yiqian,Huang ^[7] ; Jiamin,Luo ^[7] ; Zhenfang,Liu ^[8] ; Li,Jing ^[9]

作者单位： Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.;Department of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China. ^[1] Department of Internal Medicine, Longmatan District Hospital of Traditional Chinese Medicine, Luzhou, Sichuan, 646000, China. ^[2] Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China. ^[3] The Affiliated Hospital of Traditional Chinese Medicine, Southwest Medical University, Luzhou, Sichuan, 646000, China. ^[4] Department of lmmunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, 530021, China. ^[5] Department of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China. ^[6] Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China. ^[7] Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China. liuzhenfang@gxmu.edu.cn. ^[8] Department of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China. 2251270990@qq.com. ^[9]

关键词 Bloodstream infection Hematological malignancy Machine learning Microbiology Model Resistance Risk factor