Sparse feature selection for classification and prediction of metastasis in endometrial cancer

Sparse feature selection for classification and prediction of metastasis in endometrial cancer

Abstract Background Metastasis via pelvic and/or para-aortic lymph nodes is a major risk factor for endometrial cancer. Lymph-node resection ameliorates risk but is associated with significant co-morbidities. Incidence in patients with stage I disease is 4–22% but no mechanism exists to accurately p...

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Bibliographic Details
Main Authors: Mehmet Eren Ahsen, Todd P. Boren, Nitin K. Singh, Burook Misganaw, David G. Mutch, Kathleen N. Moore, Floor J. Backes, Carolyn K. McCourt, Jayanthi S. Lea, David S. Miller, Michael A. White, Mathukumalli Vidyasagar
Format: Article
Language:English
Published: BMC 2017-03-01
Series:BMC Genomics
Subjects:
Endometrial cancer
Lymph node metastasis
Sparse classification
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12864-017-3604-y

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http://link.springer.com/article/10.1186/s12864-017-3604-y

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