• DocumentCode
    2454878
  • Title

    Machine learning and software engineering in health informatics

  • Author

    Clifton, David A. ; Gibbons, Jeremy ; Davies, Jim ; Tarassenko, Lionel

  • Author_Institution
    Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2012
  • fDate
    5-5 June 2012
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    Health informatics is a field in which the disciplines of software engineering and machine learning necessarily co-exist. This discussion paper considers the interaction of software engineering and machine learning, set within the context of health informatics, where the scale of clinical practice requires new engineering approaches from both disciplines. We introduce applications implemented in large on-going research programmes undertaken between the Departments of Engineering Science and Computer Science at Oxford University, the Oxford University Hospitals NHS Trust, and the Guy´s and St Thomas´ NHS Foundation Trust, London.
  • Keywords
    health care; learning (artificial intelligence); medical information systems; software engineering; clinical practice; health informatics; machine learning; software engineering; Bayesian methods; Informatics; Machine learning; Machine learning algorithms; Software; Software algorithms; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Realizing Artificial Intelligence Synergies in Software Engineering (RAISE), 2012 First International Workshop on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-1752-8
  • Type

    conf

  • DOI
    10.1109/RAISE.2012.6227968
  • Filename
    6227968