Early prediction of Mycobacterium tuberculosis transmission clusters using supervised learning models
Abstract Identifying individuals with tuberculosis (TB) with a high risk of onward transmission can guide disease prevention and public health strategies. Here, we train classification models to predict the first sampled isolates in Mycobacterium tuberculosis transmission clusters from demographic a...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | Omid Gheysar Gharamaleki, Caroline Colijn, Inna Sekirov, James C. Johnston, Benjamin Sobkowiak |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Online Access: | https://doi.org/10.1038/s41598-024-78247-z |
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