The 4 diabetes support system: A case study in CBR research and development

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6880 LNAI, Issue , 2011, Pages 137-150

  Marling, Cindy ^a   Wiley, Matthew ^a   Cooper, Tessa ^a   Bunescu, Razvan ^a   Shubrook, Jay ^b   Schwartz, Frank ^b  

^a US Institute of Navigation   (United States)

^b OHIO UNIVERSITY   (United States)

Author keywords

CBR research paradigm; diabetes management; Medical decision support

Indexed keywords

AI TECHNOLOGIES; BLOOD GLUCOSE; CBR; CBR RESEARCH PARADIGM; CLINICAL APPLICATION; CLINICAL RESEARCH; DIABETES MANAGEMENT; INSULIN PUMPS; MEDICAL DECISION MAKING; MEDICAL RESEARCH; NAIVE BAYES CLASSIFICATION; PROJECT EXPERIENCES; RESEARCH AND DEVELOPMENT; RESEARCH DIRECTIONS; SUPPORT SYSTEMS; SUPPORT VECTOR REGRESSIONS; TYPE 1 DIABETES; WELLBEING;

ARTIFICIAL INTELLIGENCE; BLOOD; GLUCOSE; PATIENT TREATMENT;

RESEARCH;

EID: 84856915783     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23291-6_12     Document Type: Conference Paper

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