A machine learning model to classify aortic dissection patients in the early diagnosis phase
Author:
Funder
Natural Science Foundation of Shaanxi Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-39066-9.pdf
Reference26 articles.
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2. Criado, F. J. Aortic dissection: a 250-year perspective. Texas Heart Institute Journal 38, 694 (2011).
3. Hagan, P. G. et al. The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease. Jama 283, 897–903 (2000).
4. Kim, E. K. et al. Presence of simple renal cysts is associated with increased risk of aortic dissection: a common manifestation of connective tissue degeneration? Heart 97, 55 (2011).
5. Peng, W. et al. Potential biomarkers for early diagnosis of acute aortic dissection. Heart & Lung 44, 205–208 (2015).
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