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
Link To Document :
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