Determining a robust prognostic biomarker for 804 patients with pancreatic cancer using a machine learning computational framework

Abstract

First Affiliated Hospital of Dalian Medical University, Dalian, China Qihang Yuan and Jiaao Sun contributed to this study equally. Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. *Corresponding authors. Address: . E-mail: [email protected] (D. Shang); First Affiliated Hospital of Dalian Medical University, CHINA. E-mail: [email protected] (Z Hong). Supplemental Digital Content is available for this article. Direct URL citations are provided in the HTML and PDF versions of this article on the journal's website, www.lww.com/international-journal-of-surgery. Published online ■ ■ This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-nc-sa/4.0/