• DocumentCode
    113587
  • Title

    An algorithm to screen for preeclampsia using a smart phone

  • Author

    Tagare, Hemant D. ; Rood, Kara ; Buhimschi, Irina A.

  • Author_Institution
    Dept. of Diag. Radiol., Yale Univ., New Haven, CT, USA
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    Preeclampsia is one of the leading causes of maternal death in developing and underdeveloped countries. A simple urine test, called the Congo Red Dot Test (CRD Test), was recently proposed to screen for preeclampsia. This paper reports an algorithm for automatically quantifying and interpreting the CRD Test. The algorithm can be easily programmed as an app on a smart phone. When evaluated on a pilot data set, the screening accuracy of the algorithm is high. The CRD Test and the algorithm can be easily deployed in resource-limited countries.
  • Keywords
    biomedical communication; medical disorders; obstetrics; patient diagnosis; smart phones; CRD Test; Congo Red Dot Test; developing countries; maternal death; pilot data set; preeclampsia screening; resource-limited countries; screening accuracy; simple urine test; smart phone; underdeveloped countries; Image segmentation; Lasers; Lighting; Pregnancy; Protein engineering; Proteins; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Healthcare Innovation Conference (HIC), 2014 IEEE
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/HIC.2014.7038872
  • Filename
    7038872