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

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

Abstract Background There is a general dearth of information on extrapulmonary tuberculosis (EPTB). Here, we investigated Mycobacterium tuberculosis (Mtb) drug resistance and transmission patterns in EPTB patients treated in the Tshwane metropolitan area, in South Africa. Methods Consecutive Mtb cul...

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Bibliographic Details
Main Authors: Doctor B. Sibandze, Beki T. Magazi, Lesibana A. Malinga, Nontuthuko E. Maningi, Bong-Akee Shey, Jotam G. Pasipanodya, Nontombi N. Mbelle
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Infectious Diseases
Subjects:
Stochastic gradient boosting
Spoligotypes
Number needed to screen
Attributable risk
Pharmacokinetic variability
Acquired drug resistance
Online Access:http://link.springer.com/article/10.1186/s12879-020-05256-4

Internet

http://link.springer.com/article/10.1186/s12879-020-05256-4

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