Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis

Journal of Biomedical Informatics

Volumn 52, Issue , 2014, Pages 329-337

  Belciug, Smaranda ^a   Gorunescu, Florin ^b  

^a UNIVERSITY OF CRAIOVA   (Romania)

^b UNIVERSITY OF MEDICINE AND PHARMACY OF CRAIOVA   (Romania)

Author keywords

Automated medical diagnosis; Bayesian trained neural networks; Breast cancer; Diabetes; Heart attack; Lung cancer

Indexed keywords

AUTOMATION; BAYESIAN NETWORKS; BIOLOGICAL ORGANS; DECISION MAKING; DIAGNOSIS; DISEASES; ERROR CORRECTION; LEARNING SYSTEMS; MEDICAL COMPUTING; MEDICAL PROBLEMS; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS;

BREAST CANCER; CLASSICAL BACK-PROPAGATION; CONVENTIONAL TECHNIQUES; HEART ATTACK; LUNG CANCER; MEDICAL DECISION MAKING; STATISTICAL COMPARISONS; TRAINED NEURAL NETWORKS;

BACKPROPAGATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED MEDICAL DIAGNOSIS; AUTOMATION; BACK PROPAGATION; BAYESIAN LEARNING; BREAST CANCER; DIABETES MELLITUS; DIAGNOSTIC PROCEDURE; ERROR CORRECTION LEARNING; HEART INFARCTION; LUNG CANCER; MACHINE LEARNING; PROBABILITY; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; HUMAN; PROCEDURES;

BAYES THEOREM; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEURAL NETWORKS (COMPUTER);

EID: 84919841938     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.07.013     Document Type: Article

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