Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy
Author:
Funder
Seventh Framework Programme
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology
Link
http://link.springer.com/article/10.1007/s10549-018-4841-8/fulltext.html
Reference60 articles.
1. Andersen KG, Kehlet H (2011) Persistent pain after breast cancer treatment: a critical review of risk factors and strategies for prevention. J Pain 12:725–746. https://doi.org/10.1016/j.jpain.2010.12.005
2. Beck AT, Ward CM, Mendelson M, Mock JE, Erbaugh JK (1961) An inventory for measuring depression. Arch Gen Psychiat 4:561–571
3. Bray F, Ren JS, Masuyer E, Ferlay J (2013) Global estimates of cancer prevalence for 27 sites in the adult population in 2008. Int J Cancer 132:1133–1145. https://doi.org/10.1002/ijc.27711
4. Bruce J, Thornton AJ, Scott NW, Marfizo S, Powell R, Johnston M, Wells M, Heys SD, Thompson AM (2012) Chronic preoperative pain and psychological robustness predict acute postoperative pain outcomes after surgery for breast cancer. Br J Cancer 107:937–946. https://doi.org/10.1038/bjc.2012.341
5. Burke AL, Mathias JL, Denson LA (2015) Psychological functioning of people living with chronic pain: a meta-analytic review. Br J Clin Psychol 54:345–360. https://doi.org/10.1111/bjc.12078
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