Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data

Artificial Intelligence in Medicine

Volumn 29, Issue 1-2, 2003, Pages 61-79

  Zaffalon, Marco ^a   Wesnes, Keith ^b   Petrini, Orlando ^c  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^b CDR House ^*  (United Kingdom)

^c Pharmaton SA   (Switzerland)

Author keywords

Cognitive tests; Credal classification; Data mining; Dementia; Imprecise probabilities; Missing data; Naive credal classifier

Indexed keywords

DIAGNOSIS; DISEASES; MEDICINE; PROBABILITY DISTRIBUTIONS;

DEMENTIA;

ARTIFICIAL INTELLIGENCE;

ALZHEIMER DISEASE; AUTOMATION; BAYES THEOREM; COGNITION; CONFERENCE PAPER; CONTROLLED STUDY; DEMENTIA; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; EMPIRICISM; HUMAN; INTERMETHOD COMPARISON; LEWY BODY; MEDICAL RESEARCH; MODEL; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RELIABILITY; STATISTICAL MODEL;

EID: 0042836881     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(03)00046-0     Document Type: Conference Paper

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