• DocumentCode
    652140
  • Title

    Dynamic Disease Forecast Network Using Family Medical History

  • Author

    Agrawal, Rajeev ; Suleiman, Muhammad ; Seay, Cameron ; Gloster, Clay

  • Author_Institution
    NC A&T State Univ., Greensboro, NC, USA
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    486
  • Lastpage
    486
  • Abstract
    In primary health care, family history has been considered an important tool to assess the risk of having a certain disease in a person. As more and more data about the medical history of people is becoming available, it is possible to implement a dynamic disease forecast network to create the risk profile of all the family members. This network will update itself whenever medical data such as the test results of a person in the family change. The proposed network can be expanded as a child is born in the family.
  • Keywords
    diseases; health care; medical information systems; dynamic disease forecast network; family medical history; medical data; primary health care; Diabetes; Diseases; Educational institutions; Heuristic algorithms; History; Pediatrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Healthcare Informatics (ICHI), 2013 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • DOI
    10.1109/ICHI.2013.74
  • Filename
    6680522