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Cited by in CrossRef
For: Du X, Dua S. Cancer prognosis using support vector regression in imaging modality. World J Clin Oncol 2011; 2(1): 44-49 [PMID: 21603313 DOI: 10.5306/wjco.v2.i1.44]
URL: https://www.wjgnet.com/2218-4333/full/v2/i1/44.htm
Number Citing Articles
1
Shahrbanoo Goli, Hossein Mahjub, Javad Faradmal, Hoda Mashayekhi, Ali-Reza Soltanian. Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector RegressionComputational and Mathematical Methods in Medicine 2016; 2016: 1 doi: 10.1155/2016/2157984
2
Thanida Sananmuang, Kanchanarat Mankong, Suppawiwat Ponglowhapan, Kaj Chokeshaiusaha. Support vector regression algorithm modeling to predict the parturition date of small - to medium-sized dogs using maternal weight and fetal biparietal diameterVeterinary World 2021; 14(4): 829 doi: 10.14202/vetworld.2021.829-834
3
Associative learning based intrusion detection using sensor prioritization and fusion2011 Integrated Communications, Navigation, and Surveillance Conference Proceedings 2011; : 1 doi: 10.1109/ICNSURV.2011.5935373
4
Srinivasulu Yerukala Sathipati, Divya Sahu, Hsuan-Cheng Huang, Yenching Lin, Shinn-Ying Ho. Identification and characterization of the lncRNA signature associated with overall survival in patients with neuroblastomaScientific Reports 2019; 9(1) doi: 10.1038/s41598-019-41553-y
5
Fan Zhang, Lauren J. O'Donnell. Machine Learning2020; : 123 doi: 10.1016/B978-0-12-815739-8.00007-9