• DocumentCode
    3511581
  • Title

    Hybrid clinical decision support system: An automated diagnostic system for rural Bangladesh

  • Author

    Al Iqbal, Ridwan

  • Author_Institution
    Dept. of Comput. Sci., American Int. Univ.-Bangladesh (AIUB), Dhaka, Bangladesh
  • fYear
    2012
  • fDate
    18-19 May 2012
  • Firstpage
    76
  • Lastpage
    81
  • Abstract
    Rural areas of Bangladesh do not have quality healthcare facilities or doctors. However, Internet is widely available everywhere in the country. A web based Clinical Decision Support System (CDSS) is proposed that will serve the rural medical centers. A Clinical Decision Support System is a software that provides diagnostic suggestions based on input patient data. The system will use Artificial Intelligence technology to use given expert knowledge. The two popular types of decision support system are described, Knowledge-based and Data mining based system. Both have their respective strengths and weaknesses. A hybrid algorithm is proposed that combines the two approaches and attains higher performance. The hybrid algorithm FOCL is highly suitable for decision support. A modified form of FOCL is presented that can also take diagnostic cost into account. Several real world experiments show the advantage of this new hybrid system.
  • Keywords
    Internet; data mining; decision support systems; health care; knowledge based systems; medical diagnostic computing; telemedicine; artificial intelligence technology; automated diagnostic system; data mining based system; expert knowledge; hybrid algorithm FOCL; hybrid clinical decision support system; input patient data; knowledge-based system; rural Bangladesh; software; web based clinical decision support system; Breast; Cancer; Diabetes; Heart; Lungs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1153-3
  • Type

    conf

  • DOI
    10.1109/ICIEV.2012.6317526
  • Filename
    6317526