Prediction of influenza vaccination outcome by neural networks and logistic regression

Journal of Biomedical Informatics

Volumn 43, Issue 5, 2010, Pages 774-781

  Trtica Majnaric, Ljiljana ^a   Zekic Susac, Marijana ^a   Sarlija, Natasa ^a   Vitale, Branko ^b  

^a JOSIP JURAJ STROSSMAYER UNIVERSITY OF OSIJEK   (Croatia)

^b RUDER BO KOVI INSTITUTE   (Croatia)

Author keywords

Influenza vaccination; Logistic regression; Multilayer perceptron; Neural networks; Outcome; Prediction; Probabilistic network; Radial basis function

Indexed keywords

INFLUENZA VACCINATION; LOGISTIC REGRESSION; MULTILAYER PERCEPTRON; OUTCOME; PREDICTION; PROBABILISTIC NETWORK; RADIAL BASIS FUNCTIONS;

FORECASTING; HEALTH CARE; MULTILAYERS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; VACCINES;

MULTILAYER NEURAL NETWORKS;

INFLUENZA VACCINE;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; FEMALE; HONG KONG INFLUENZA; HUMAN; INFLUENZA A (H1N1); INFLUENZA A (H3N2); INFLUENZA B; INFLUENZA VACCINATION; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICAL PRACTICE; PHYSICIAN; PRIMARY HEALTH CARE; PRIORITY JOURNAL; SENSITIVITY AND SENSIBILITY;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; INFLUENZA VACCINES; INFLUENZA, HUMAN; LOGISTIC MODELS; MODELS, IMMUNOLOGICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

EID: 77956262660     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2010.04.011     Document Type: Article

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