Application of a new hybrid model with seasonal auto-regressive integrated moving average (ARIMA) and nonlinear auto-regressive neural network (NARNN) in forecasting incidence cases of HFMD in Shenzhen, China

PLoS ONE

Volumn 9, Issue 6, 2014, Pages

  Yu, Lijing ^a   Zhou, Lingling ^a   Tan, Li ^a   Jiang, Hongbo ^a   Wang, Ying ^a   Wei, Sheng ^a   Nie, Shaofa ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASIA; AUTOSOMAL REGRESSIVE INTEGRATED MOVING AVERAGE NEURAL NETWORK; CHILD; CHINA; CONTROLLED STUDY; EPIDEMIC; FEMALE; FORECASTING; HAND FOOT AND MOUTH DISEASE; HUMAN; INCIDENCE; INFANT; INFORMATION TECHNOLOGY; MAJOR CLINICAL STUDY; MALE; NONLINEAR AUTOREGRESSIVE NEURAL NETWORK; OBSERVATIONAL STUDY; PROBABILITY; RETROSPECTIVE STUDY; ARTIFICIAL NEURAL NETWORK; DEMOGRAPHY; HAND, FOOT AND MOUTH DISEASE; NEWBORN; NONLINEAR SYSTEM; PRESCHOOL CHILD; REGRESSION ANALYSIS; REPRODUCIBILITY; SEASON; STATISTICAL MODEL; TIME;

CHILD, PRESCHOOL; CHINA; DEMOGRAPHY; EPIDEMICS; FEMALE; FORECASTING; HAND, FOOT AND MOUTH DISEASE; HUMANS; INCIDENCE; INFANT; INFANT, NEWBORN; MALE; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SEASONS; TIME FACTORS;

EID: 84902532292     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0098241     Document Type: Article

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