Ontology based personalized modeling for type 2 diabetes risk analysis: An integrated approach

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

Volumn 5864 LNCS, Issue PART 2, 2009, Pages 360-366

  Verma, Anju ^a   Fiasché, Maurizio ^b,c   Cuzzola, Maria ^c   Iacopino, Pasquale ^c   Morabito, Francesco C ^b   Kasabov, Nikola ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

^c Transplant Regional Center of Stem Cells and Cellular Therapy   (Italy)

Author keywords

Diabetes; Disease ontology; Integrated approach; Personalized modeling

Indexed keywords

CHRONIC DISEASE; DIABETES; GLOBAL KNOWLEDGE; INTEGRATED APPROACH; MODEL CREATION; NEURO-FUZZY INFERENCE SYSTEMS; ONTOLOGICAL REPRESENTATION; ONTOLOGY-BASED; PERSONAL DATA; PERSONALIZED MODELING; RISK EVALUATION; TYPE-2 DIABETES; WEIGHTED DATA;

ARTIFICIAL INTELLIGENCE; DATA MINING; DATA PROCESSING; DECISION SUPPORT SYSTEMS; DECISION THEORY; EXPERT SYSTEMS; FUZZY INFERENCE; FUZZY SYSTEMS; GENES; INTEGRATED CONTROL; KNOWLEDGE REPRESENTATION; RISK ANALYSIS; RISK ASSESSMENT; SAFETY FACTOR; STRESS INTENSITY FACTORS;

ONTOLOGY;

EID: 76249126464     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10684-2_40     Document Type: Conference Paper

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