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Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters

Sandy P. Althomsons,Kathryn Winglee,Charles M. Heilig,Sarah Talarico,Benjamin Silk,Jonathan Wortham,Andrew N. Hill,Thomas R. Navin

AMERICAN JOURNAL OF EPIDEMIOLOGY（2022）

Cited 4|Views35
Key words
cluster growth,machine learning,surveillance data,tuberculosis
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