NDLI: SeyeS - support system for preventing the development of ocular disabilities in leprosy

Content Provider	IEEE Xplore Digital Library
Author	Girardi, D.R. Moro, C.M. Bulegon, H.
Copyright Year	2010
Description	Author affiliation: Pontifical Catholic University of Paraná (PUCPR), Brazil (Girardi, D.R.; Moro, C.M.; Bulegon, H.)
Abstract	Leprosy is an infectious disease caused by Mycobacterium Leprae, and generally compromises neural fibers, leading to the development of disabilities. These limit daily activities or social life. In leprosy, the study of disability considered functional (physical) and activity limitations; and social participation. These are measured respectively by EHF and SALSA scales; by and PARTICIPATION SCALE. The objective of this work was to propose a support system, SeyeS, to eyes disabilities development and progression identification, applying Bayesians network - BN's. It is expected that the proposed system be applied in monitoring the patient during treatment and after therapeutic cure of leprosy. SeyeS presented specificity 1 and sensitivity 0.6 in the identification of ocular disabilities development. With Seyes was discovered that the presence of trichiasis and lagophthalmos, tend to increase the probability of developing more disabilities. Otherwise, characteristics as cataracts tend to decrease development of other disabilities, considering that medical interventions could reduce it. The more import of this system is to indicate what should be monitored, and which elements needs interventions to not increasing patient's ocular disabilities.
Starting Page	6162
Ending Page	6165
File Size	702977
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627769
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity Bayesian methods Diseases Biomedical monitoring Surveillance Particle measurements
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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