Artificial Neural Networks for Prediction of Tuberculosis Disease
Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedu...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-03-01
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Series: | Frontiers in Microbiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fmicb.2019.00395/full |