Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china

scientific article

Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/cmmm/GanCYH15
P356DOI10.1155/2015/328273
P932PMC publication ID4357037
P698PubMed publication ID25815044
P5875ResearchGate publication ID276415303

P2093author name stringYu Yan
Xiaojun Chen
Daizheng Huang
Ruijing Gan
P2860cites workIntroduction to artificial neural networks.Q30365776
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.Q30424718
The application of the grey disaster model to forecast epidemic peaks of typhoid and paratyphoid fever in ChinaQ34658523
The development of a combined mathematical model to forecast the incidence of hepatitis E in Shanghai, ChinaQ34980317
Chronic hepatitis B: management challenges in resource-poor countriesQ35603813
Multiobjective optimization design of spinal pedicle screws using neural networks and genetic algorithm: mathematical models and mechanical validationQ37105323
Overview of artificial neural networksQ37344408
Modelling disease outbreaks in realistic urban social networksQ39684931
Hepatitis B in a high prevalence New Zealand population: a mathematical model applied to infection control policyQ40068308
Evolutionary patterns of hepatitis B virus quasispecies under different selective pressures: correlation with antiviral efficacyQ44026289
Dynamics of a delay differential equation model of hepatitis B virus infection.Q44926356
External validity of predictive models: a comparison of logistic regression, classification trees, and neural networksQ47648604
On a nonautonomous SEIRS model in epidemiology.Q51912970
[The guideline of prevention and treatment for chronic hepatitis B (2010 version)]Q83311491
JAMA patient page. Hepatitis BQ83842666
P275copyright licenseCreative Commons Attribution 3.0 UnportedQ14947546
P6216copyright statuscopyrightedQ50423863
P407language of work or nameEnglishQ1860
P921main subjectartificial neural networkQ192776
P304page(s)328273
P577publication date2015-02-26
P1433published inComputational and Mathematical Methods in MedicineQ15754930
P1476titleApplication of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china
P478volume2015

Reverse relations

cites work (P2860)
Q47261751Application of seasonal auto-regressive integrated moving average model in forecasting the incidence of hand-foot-mouth disease in Wuhan, China
Q57092021Comparison of ARIMA and GM(1,1) models for prediction of hepatitis B in China
Q37406666Comparisons of forecasting for hepatitis in Guangxi Province, China by using three neural networks models
Q92382787Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China
Q31154650Fast detection and data compensation for electrodes disconnection in long-term monitoring of dynamic brain electrical impedance tomography
Q90569641Forecasting incidence of hand, foot and mouth disease using BP neural networks in Jiangsu province, China
Q36286537Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization
Q57929601The analysis of GM (1, 1) grey model to predict the incidence trend of typhoid and paratyphoid fevers in Wuhan City, China

Search more.