Angelini, E. D., Yang, J., Balte, P. P., Hoffman, E. A., Manichaikul, A. W., Sun, Y., Shen, W., Austin, J. H. M., Allen, N. B., Bleecker, E. R., Bowler, R., Cho, M. H., Cooper, C. S., Couper, D., Dransfield, M. T., Garcia, C. K., Han, M. K., Hansel, N. N., Hughes, E., … Barr, R. G. (2023). Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans. Thorax, 78(11), 1067–1079. https://doi.org/10.1136/thorax-2022-219158
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Columbia Affiliation
Vagelos College of Physicians and Surgeons; Department of Medicine; Division of General Medicine; Department of Pediatrics; Division of Pediatric Gastroenterology, Hepatology, and Nutrition; Division of Pulmonary, Allergy, and Critical Care Medicine; Mailman School of Public Health; Department of Biostatistics; Institute of Human Nutrition; Department of Radiology; Department of Systems Biology; Department of Epidemiology