Towards the applied hybrid model in decision making: Support the early diagnosis of type 2 diabetes

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

Volumn 7473 LNCS, Issue , 2012, Pages 648-655

  Menezes, Andrea Carvalho ^a   Pinheiro, Placido Rogerio ^a   Pinheiro, Mirian Caliope Dantas ^a   Cavalcante, Tarcísio Pequeno ^a  

^a UNIVERSITY OF FORTALEZA   (Brazil)

Author keywords

Bayesian network; diabetes; early diagnosis; expert systems; multicriteria

Indexed keywords

DECISION MAKING PROCESS; EARLY DIAGNOSIS; HYBRID MODEL; INSULIN ACTION; INSULIN SECRETION; METABOLIC DISEASE; MULTI-CRITERIA; MULTI-CRITERIA METHOD; PROBABILITY RULES; PRODUCTION RULES; TYPE-2 DIABETES;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; DECISION MAKING; EXPERT SYSTEMS; INSULIN; MEDICAL PROBLEMS;

DIAGNOSIS;

EID: 84867647976     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34062-8_84     Document Type: Conference Paper

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