Machine learning reveals that Mycobacterium tuberculosis genotypes and anatomic disease site impacts drug resistance and disease transmission among patients with proven extra-pulmonary tuberculosis

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作者：
Doctor B. Sibandze
Beki T. Magazi
Lesibana A. Malinga
Nontuthuko E. Maningi
Bong-Akee Shey
Jotam G. Pasipanodya
Nontombi N. Mbelle
机构：
[1] University of Pretoria,Department of Medical Microbiology, Faculty of Health Sciences
[2] Ministry of Health,National Tuberculosis Control Program
[3] National Health Laboratory Services,Tshwane Division
[4] South African Medical Research Council,Tuberculosis Platform
[5] Texas Tech University Health Sciences Center,Center For Infectious Diseases Research and Experimental Therapeutics
[6] Praedicare Laboratories,undefined
来源：
BMC Infectious Diseases | / 20卷
关键词：
Stochastic gradient boosting; Spoligotypes; Number needed to screen; Attributable risk; Pharmacokinetic variability; Acquired drug resistance;
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