• DocumentCode
    126907
  • Title

    A rule based system for diagnosing and treating chronic heart failure

  • Author

    Critien, Luke Vella ; Khuman, Arjab Singh ; Carter, Jenny ; Ahmadi, Siavash

  • Author_Institution
    Centre for Comput. Intell., De Montfort Univ., Leicester, UK
  • fYear
    2014
  • fDate
    8-10 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this study is to design a rule based expert system which provides doctors with a better tool to be able to manage chronic heart failure in adults. The suggested system is intended to help in diagnosing heart failure at the earliest permissible stage and subsequently suggest the best treatment for the particular case. The designed system has two facets, one related to the diagnosis and the other related to the treatment of chronic heart failure. The former part is based on the latest chronic heart failure guidelines issued by the National Health Services (NHS) - National Institute for Health and Clinical Excellence (NICE) in August 2010. The treatment for chronic heart failure is based on the latest version of British National Formulary (BNF). This rule based system is not intended to replace the specialist but it may be used to provide assurance that all diagnostic criteria have been followed and hence the best possible treatment is given. The system is implemented using the CLIPS language which is a powerful forward-chaining rule based system.
  • Keywords
    cardiology; diagnostic expert systems; medical expert systems; patient diagnosis; patient treatment; BNF; British National Formulary; CLIPS language; NHS; NICE; National Health Services; National Institute for Health and Clinical Excellence; chronic heart failure diagnosis; chronic heart failure treatment; forward chaining rule based system; rule based expert system; Diseases; Expert systems; Heart; Interviews; Medical diagnostic imaging; Diagnosis and Treatment of Chronic Heart Failure; Rule Based Expert Systems — CLIPS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence (UKCI), 2014 14th UK Workshop on
  • Conference_Location
    Bradford
  • Type

    conf

  • DOI
    10.1109/UKCI.2014.6930178
  • Filename
    6930178