• DocumentCode
    2412016
  • Title

    Porting a cancer treatment prediction to a mobile device

  • Author

    Gegg-Harrison, Tim ; Zhang, Mingrui ; Meng, Nan ; Sun, Zhifu ; Yang, Ping

  • Author_Institution
    Comput. Sci. Dept., Winona State Univ., Winona, MN, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    6218
  • Lastpage
    6221
  • Abstract
    The Lung Cancer Survivability Prediction Tool (LCSPT) is a web-based system that predicts the survival possibility of a lung cancer patient based on the status of the patient and the treatments provided. In order to make the LCSPT more accessible and convenient to doctors working in a clinical setting, we have developed a new interface for mobile devices. The display size along with wireless data transfer speeds pose the most significant challenges to porting a software application to a mobile device. We have addressed these issues by redefining the interface and limiting the amount of data that is required. The resultant tool provides doctors with the flexibility of mobility while maintaining the effectiveness of the desktop version of the LCSPT.
  • Keywords
    biomedical communication; cancer; lung; mobile handsets; patient treatment; LCSPT; cancer treatment prediction; iPhone; lung cancer survivability prediction tool; mobile device; web-based system; Cellular Phone; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted; Humans; Neoplasms; Outcome Assessment (Health Care); Prognosis; Survival Analysis; Survival Rate; Telemedicine; United States;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5334551
  • Filename
    5334551