4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

Research Article

HPVGuard: A Software Platform to Support Management and Prognosis of Cervical Cancer

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  • @INPROCEEDINGS{10.4108/icst.mobihealth.2014.257377,
        author={Ioannis Tamposis and Panagiotis Bountris and Abraham Pouliakis and Evripidis Iordanidis and Leonidas Tzortzis and Maria Haritou and Petros Karakitsos and Dimitrios Koutsouris},
        title={HPVGuard: A Software Platform to Support Management and Prognosis of Cervical Cancer},
        proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"},
        publisher={IEEE},
        proceedings_a={MOBIHEALTH},
        year={2014},
        month={12},
        keywords={cervical cancer human papillomavirus (hpv) artificial intelligence models cytopathology distributed software applications mobile health},
        doi={10.4108/icst.mobihealth.2014.257377}
    }
    
  • Ioannis Tamposis
    Panagiotis Bountris
    Abraham Pouliakis
    Evripidis Iordanidis
    Leonidas Tzortzis
    Maria Haritou
    Petros Karakitsos
    Dimitrios Koutsouris
    Year: 2014
    HPVGuard: A Software Platform to Support Management and Prognosis of Cervical Cancer
    MOBIHEALTH
    IEEE
    DOI: 10.4108/icst.mobihealth.2014.257377
Ioannis Tamposis1,*, Panagiotis Bountris2, Abraham Pouliakis3, Evripidis Iordanidis1, Leonidas Tzortzis1, Maria Haritou4, Petros Karakitsos3, Dimitrios Koutsouris2
  • 1: OraSys New Technologies S.A.
  • 2: Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens
  • 3: Department of Cytopathology, "ATTIKON" University Hospital, University of Athens
  • 4: Institute of Communication and Computer Systems, National Technical University of Athens
*Contact email: itamposis@orasys.gr

Abstract

Cervical cancer (CxCa) is one of the commonest reasons of women's mortality, although it can be prevented and treated if diagnosed early. Key to this is the regular examination with the test Papanikolaou but nowadays also with ancillary molecular biology tests. In this paper the authors present aspects of the architecture, design and implementation of the HPVGuard information system, a software platform capable to store and handle a multitude of medical examination data along with non-medical information. HPVGuard integrates artificial intelligence models that combine data from different medical examinations and produce an estimation of women's risk to develop CxCa. The application of HPVGuard proved that computerized systems supporting women control can be of extreme value. This is nowadays feasible via the use of inexpensive tools and can be made available to the end users as a web service on standard computers as well as on a variety of mobile terminals.