A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer[U+05F3]s disease and mild cognitive impairment

Computers in Biology and Medicine

Volumn 51, Issue , 2014, Pages 140-158

  Seixas, Flávio Luiz ^a   Zadrozny, Bianca ^b   Laks, Jerson ^c   Conci, Aura ^a   Muchaluat Saade, Débora Christina ^a  

^a FLUMINENSE FEDERAL UNIVERSITY   (Brazil)

^b IBM RESEARCH   (United States)

^c FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Bayesian network; Clinical decision support system; Dementia; Mild cognitive impairment

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; DECISION SUPPORT SYSTEMS; DEVELOPING COUNTRIES; MODELS; NEURODEGENERATIVE DISEASES; PATIENT TREATMENT; STATISTICAL TESTS;

ALZHEIMER; CLINICAL DECISION SUPPORT SYSTEMS; DEMENTIA; ELDERLY POPULATIONS; MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI); NEUROPSYCHOLOGICAL TESTS; QUANTITATIVE METHOD;

DIAGNOSIS;

ALZHEIMER DISEASE; ARTICLE; BAYESIAN LEARNING; BRAZIL; CLINICAL EVALUATION; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DEMENTIA; EPIDEMIOLOGY; HUMAN; LEARNING ALGORITHM; MILD COGNITIVE IMPAIRMENT; NEUROPSYCHOLOGICAL TEST; PHYSICIAN; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; UNCERTAINTY; UNITED STATES; BAYES THEOREM; BIOLOGICAL MODEL; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; MENTAL DISORDERS; PATHOPHYSIOLOGY; PROCEDURES;

ALZHEIMER DISEASE; BAYES THEOREM; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MENTAL DISORDERS; MODELS, BIOLOGICAL;

EID: 84902476794     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2014.04.010     Document Type: Article

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