Althomsons, S. P., Winglee, K., Heilig, C. M., Talarico, S., Silk, B., Wortham, J., . . . Navin, T. R. (2022). Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters. American journal of epidemiology, 191(11), 1936-1943.
Chicago Style (17th ed.) CitationAlthomsons, Sandy P., Kathryn Winglee, Charles M. Heilig, Sarah Talarico, Benjamin Silk, Jonathan Wortham, Andrew N. Hill, and Thomas R. Navin. "Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters." American Journal of Epidemiology 191, no. 11 (2022): 1936-1943.
MLA (8th ed.) CitationAlthomsons, Sandy P., et al. "Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters." American Journal of Epidemiology, vol. 191, no. 11, 2022, pp. 1936-1943.
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