Anna T. Gavin

Learn More
BACKGROUND AND AIMS Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored. Here some techniques are presented for the pre-processing of free-text breast cancer pathology reports, with the aim of facilitating the extraction of information relevant to cancer staging. MATERIALS AND METHODS(More)
OBJECTIVE To investigate the prevalence of physical symptoms that were 'ever' and 'currently' experienced by survivors of prostate cancer at a population level, to assess burden and thus inform policy to support survivors. PATIENTS AND METHODS The study included 3 348 men surviving prostate cancer for 2-18 years after diagnosis. A cross-sectional, postal(More)
  • 1