Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine Learning

• Published in: Frontiers in cardiovascular medicine Vol. 8; p. 675431
• Main Authors: Chen, Qiuying, Zhang, Bin, Yang, Jue, Mo, Xiaokai, Zhang, Lu, Li, Minmin, Chen, Zhuozhi, Fang, Jin, Wang, Fei, Huang, Wenhui, Fan, Ruixin, Zhang, Shuixing
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 12.07.2021
• Subjects: acute type A aortic dissection; Cardiovascular Medicine; intensive care unit; length of stay; machine learning; surgery

Background: Patients with acute type A aortic dissection are usually transferred to the intensive care unit (ICU) after surgery. Prolonged ICU length of stay (ICU-LOS) is associated with higher level of care and higher mortality. We aimed to develop and validate machine learning models for predictin...