• DocumentCode
    144658
  • Title

    Development and validation of an AI-enabled mHealth technology for in-home pregnancy management

  • Author

    Kazantsev, Alexander ; Ponomareva, Julia ; Kazantsev, Pavel

  • Author_Institution
    Lab. of New Methods in Biol., Inst. for Biol. Instrum., Pushchino, Russia
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    927
  • Lastpage
    931
  • Abstract
    The solution of perinatal morbidity and mortality problem lies in the development of an information technology for large-scale eHealth-enabled management of pregnancy, making use of personal mobile web monitors, cloud computing and artificial intelligence. The solution leads to halving the indices of perinatal morbidity and mortality, as well as the costs of pregnancy care at the same time. Lowering the costs of care in turn ensures the investment attractiveness of the eHealthcare services, and makes them affordable to low budget care providers. The advances of the technology are substantiated by the results already obtained. The concept of large-scale eHealth pregnancy management, making use of mobile/ wearable personal monitors, artificial intelligence and cloud computing is first proposed.
  • Keywords
    artificial intelligence; cloud computing; health care; medical information systems; obstetrics; artificial intelligence-enabled mHealth technology; cloud computing; in-home pregnancy management; information technology; large-scale eHealth pregnancy management; perinatal morbidity problem; perinatal mortality problem; personal mobile Web monitors; wearable personal monitors; Artificial intelligence; Biomedical monitoring; Cloud computing; Doppler effect; Fetal heart rate; Monitoring; Pregnancy; artificial intelligence; cloud computing; fetal monitoring; health care; mobile monitor; obstetrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947804
  • Filename
    6947804