Machine learning-based modeling to predict radiotherapy-induced genitourinary toxicity in prostate cancer using genome-wide association study Meeting Abstract


Authors: Lee, S.; Oh, J.; Kerns, S.; Ostrer, H.; Rosenstein, B.; Deasy, J.
Abstract Title: Machine learning-based modeling to predict radiotherapy-induced genitourinary toxicity in prostate cancer using genome-wide association study
Meeting Title: 59th Annual Meeting and Exhibition of the American Association of Physicists in Medicine (AAPM)
Journal Title: Medical Physics
Volume: 44
Issue: 6
Meeting Dates: 2017 Jul 30-Aug 3
Meeting Location: Denver, CO
ISSN: 0094-2405
Publisher: American Association of Physicists in Medicine  
Date Published: 2017-06-01
Start Page: 2849
Language: English
ACCESSION: WOS:000426452601514
PROVIDER: wos
DOI: 10.1002/mp.12304
Notes: Meeting Abstract: SU-I-GPD-T-100 -- Source: Wos
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  1. Jung Hun Oh
    187 Oh
  2. Joseph Owen Deasy
    524 Deasy
  3. Sang Kyu Lee
    18 Lee