Intelligent diabetes assistant: Using machine learning to help manage diabetes

AICCSA 08 - 6th IEEE/ACS International Conference on Computer Systems and Applications

Volumn , Issue , 2008, Pages 913-914

  Duke, David L ^a   Thorpe, Charles ^a   Mahmoud, Mazahir ^b   Mahmoud Zirie, M D ^b  

^a CARNEGIE MELLON UNIVERSITY   (Qatar)

^b HAMAD MEDICAL CORPORATION   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD; COMPUTER APPLICATIONS; COMPUTER SYSTEMS; DATA STORAGE EQUIPMENT; GLUCOSE; LEARNING SYSTEMS; ROBOT LEARNING; STATISTICAL METHODS; TELEMEDICINE;

BLOOD GLUCOSE; DATA ANALYSIS; DATA COLLECTIONS; INTERNATIONAL CONFERENCES; LONGITUDINAL STUDY; MACHINE-LEARNING;

DATA PROCESSING;

EID: 50049126408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICCSA.2008.4493641     Document Type: Conference Paper

References (4)

1. B. Allgot, D. Gan, and H. K. et al., editors. Diabetes Atlas. International Diabetes Federation, 2003.
2. A. D. Association. Standards of medical care in diabetes. Diabetes Care, 2007.
3. T. D. Control and complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993.
4. R. E. Izquierdo. A comparison of diabetes education administered through telemedicine versus in person. Diabetes Care, 2003.