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Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records.

Amita VarmaJenish MaharjanAnurag GarikipatiMyrna HurtadoSepideh ShokouhiQingqing Mao
Published in: Cancer medicine (2022)
This study provides the first preliminary evidence for the use of PRSs with patient data in a ML algorithm for PCa risk prediction in men aged 55 and under for whom screening is not standard practice.
Keyphrases
  • electronic health record
  • prostate cancer
  • clinical decision support
  • healthcare
  • machine learning
  • primary care
  • middle aged
  • case report
  • deep learning
  • adverse drug
  • artificial intelligence