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Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.
Lee, Sangkyu; Kerns, Sarah; Ostrer, Harry; Rosenstein, Barry; Deasy, Joseph O; Oh, Jung Hun.
Affiliation
  • Lee S; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Kerns S; Department of Radiation Oncology, University of Rochester Medical Center, New York, New York.
  • Ostrer H; Department of Pathology, Albert Einstein College of Medicine, New York, New York; Department of Pediatrics, Albert Einstein College of Medicine, New York, New York.
  • Rosenstein B; Department of Radiation Oncology and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Deasy JO; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Oh JH; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: ohj@mskcc.org.
Int J Radiat Oncol Biol Phys ; 101(1): 128-135, 2018 05 01.
Article in En | MEDLINE | ID: mdl-29502932
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Urination Disorders / Urogenital System / Polymorphism, Single Nucleotide / Genome-Wide Association Study / Machine Learning Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans / Male Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2018 Document type: Article Country of publication:
Fulltext
Add to My VHL
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Urination Disorders / Urogenital System / Polymorphism, Single Nucleotide / Genome-Wide Association Study / Machine Learning Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans / Male Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2018 Document type: Article Country of publication: