A Machine Learning Approach to Prostate Cancer Risk Classification Through Use of RNA Sequencing Data-Reference-Cited by-同舟云学术

A Machine Learning Approach to Prostate Cancer Risk Classification Through Use of RNA Sequencing Data

Published:2019 Issue: Volume: Page:65-79
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Casey Matthew^ORCID,Chen Baldwin,Zhou Jonathan^ORCID,Zhou Nianjun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-23551-2_5

Reference22 articles.

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3. Draisma, G., et al.: Lead time and overdiagnosis in prostate-specific antigen screening: importance of methods and context. J. Natl. Cancer Inst. 101(6), 374–383 (2009)

4. Albertsen, P.C.: The unintended burden of increased prostate cancer detection associated with prostate cancer screening and diagnosis. Urology 75(2), 399–405 (2010)

5. Serefoglu, E.C., Altinova, S., Ugras, N.S., Akıncıoğlu, E., Asil, E., Balbay, M.D.: How reliable is 12-core prostate biopsy procedure in the detection of prostate cancer? Can. Urol. Assoc. J. 7(5–6), E293–E298 (2013)

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