Title :
S2DIA: A Diagnostic System for Diabetes mellitus using SANA platform
Author :
Costa, C.M. ; Gondim, D.D. ; Gondim, D.D. ; Soares, H.B. ; Ribeiro, A.G.C.D. ; Silva, Ivanovitch ; Winkler, E. ; Celi, L. ; Guerreiro, A.M.G. ; Leite, C.R.M.
Author_Institution :
Lab. of software Eng., Univ. do Estado do Rio Grande do Norte (UERN), Mossoro, Brazil
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Currently, Diabetes is a very common disease around the world, and with an increase in sedentary lifestyles, obesity and an aging population the number of people with Diabetes worldwide will increase by more than 50%. In this context, the MIT (Massachusetts Institute of Technology) developed the SANA platform, which brings the benefits of information technology to the field of healthcare. It offers healthcare delivery in remote areas, improves patient access to medical specialists for faster, higher quality, and more cost effective diagnosis and intervention. For these reasons, we developed a system for diagnosis of Diabetes using the SANA platform, called S2DIA. It is the first step towards knowing the risks for type 2 Diabetes, and it will be evaluated, especially, in remote/poor areas of Brazil.
Keywords :
diseases; health care; information technology; medical diagnostic computing; patient diagnosis; Brazil; Massachusetts Institute of Teehnology; S2DIA diagnostic system; SANA platform; aging population; diabetes mellitus; disease; health care delivery; information technology; obesity; sedentary lifestyles; type 2 diabetes; Diabetes; Ions; Lead; Medical diagnostic imaging; Portals; Servers; Diabetes Mellitus, Type 2; Diagnosis, Computer-Assisted; Humans; Risk Factors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347380
