A predictive model for postoperative adverse outcomes following surgical treatment of acute type A aortic dissection based on machine learning.
Journal Information
Full Title: J Clin Hypertens (Greenwich)
Abbreviation: J Clin Hypertens (Greenwich)
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Vascular Diseases
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"CONFLICT OF INTEREST STATEMENT The authors declare that they have no conflicts of interest to report regarding the present study."
"The authors thank the patients who participated in the study and the research assistants and study coordinators who assisted with data collection and management of the study, including Zhao‐feng Zhang and Xing‐hui Zhuang. This research was sponsored by the Startup Fund for Scientific Research, Fujian Medical University (2022QH2019), Fujian Provincial Center for Cardiovascular Medicine Construction Project (NO.2021‐76), and Key Laboratory of Cardio‐Thoracic Surgery (Fujian Medical University), Fujian Province University Construction Project (No.2019‐67)."
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Tool: rtransparent
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Last Updated: Aug 05, 2025