Journal
BMJ Open
Publication Date
2018
Volume
8
Issue
4
Inclusive Pages
e020124
Document Type
Open Access Publication
DOI
10.1136/bmjopen-2017-020124
Rights and Permissions
Fritz BA, Chen Y, Murray-Torres TM, et al Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study BMJ Open 2018;8:e020124. doi: 10.1136/bmjopen-2017-020124 © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ This article was published in BMJ Open following peer review and can also be viewed on the journal’s website at http://bmjopen.bmj.com.
Recommended Citation
Fritz, Bradley A.; Chen, Yixin; Murray-Torres, Teresa M.; Gregory, Stephen; Ben Abdallah, Arbi; Kronzer, Alex; McKinnon, Sherry Lynn; Budelier, Thaddeus; Helsten, Daniel L.; Wildes, Troy S.; Sharma, Anshuman; and Avidan, Michael Simon, "Using machine learning techniques to develop forecasting algorithms for postoperative complications: Protocol for a retrospective study." BMJ Open. 8, 4. e020124. (2018).
https://digitalcommons.wustl.edu/open_access_pubs/6967
