BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 37003988)

  • 1. Research on hand, foot and mouth disease incidence forecasting using hybrid model in mainland China.
    Zhao D; Zhang H; Zhang R; He S
    BMC Public Health; 2023 Mar; 23(1):619. PubMed ID: 37003988
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China.
    Zou JJ; Jiang GF; Xie XX; Huang J; Yang XB
    Medicine (Baltimore); 2019 Feb; 98(6):e14195. PubMed ID: 30732135
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new hybrid model SARIMA-ETS-SVR for seasonal influenza incidence prediction in mainland China.
    Zhao D; Zhang R
    J Infect Dev Ctries; 2023 Nov; 17(11):1581-1590. PubMed ID: 38064398
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Seasonality and Trend Forecasting of Tuberculosis Prevalence Data in Eastern Cape, South Africa, Using a Hybrid Model.
    Azeez A; Obaromi D; Odeyemi A; Ndege J; Muntabayi R
    Int J Environ Res Public Health; 2016 Jul; 13(8):. PubMed ID: 27472353
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA-NNAR hybrid model.
    Yu G; Feng H; Feng S; Zhao J; Xu J
    PLoS One; 2021; 16(2):e0246673. PubMed ID: 33544752
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Time-series modelling and forecasting of hand, foot and mouth disease cases in China from 2008 to 2018.
    Tian CW; Wang H; Luo XM
    Epidemiol Infect; 2019 Jan; 147():e82. PubMed ID: 30868999
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of weather factors on hand, foot and mouth disease, and its role in short-term incidence trend forecast in Huainan City, Anhui Province.
    Zhao D; Wang L; Cheng J; Xu J; Xu Z; Xie M; Yang H; Li K; Wen L; Wang X; Zhang H; Wang S; Su H
    Int J Biometeorol; 2017 Mar; 61(3):453-461. PubMed ID: 27557791
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Temporal trends analysis of tuberculosis morbidity in mainland China from 1997 to 2025 using a new SARIMA-NARNNX hybrid model.
    Wang Y; Xu C; Zhang S; Wang Z; Yang L; Zhu Y; Yuan J
    BMJ Open; 2019 Jul; 9(7):e024409. PubMed ID: 31371283
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Forecasting incidence of hand, foot and mouth disease using BP neural networks in Jiangsu province, China.
    Liu W; Bao C; Zhou Y; Ji H; Wu Y; Shi Y; Shen W; Bao J; Li J; Hu J; Huo X
    BMC Infect Dis; 2019 Oct; 19(1):828. PubMed ID: 31590636
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model.
    Liu L; Luan RS; Yin F; Zhu XP; Lü Q
    Epidemiol Infect; 2016 Jan; 144(1):144-51. PubMed ID: 26027606
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Forecasting the monthly incidence of scarlet fever in Chongqing, China using the SARIMA model.
    Wu WW; Li Q; Tian DC; Zhao H; Xia Y; Xiong Y; Su K; Tang WG; Chen X; Wang J; Qi L
    Epidemiol Infect; 2022 Apr; 150():e90. PubMed ID: 35543101
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting the outbreak of hand, foot, and mouth disease in Nanjing, China: a time-series model based on weather variability.
    Liu S; Chen J; Wang J; Wu Z; Wu W; Xu Z; Hu W; Xu F; Tong S; Shen H
    Int J Biometeorol; 2018 Apr; 62(4):565-574. PubMed ID: 29086082
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Epidemiological characteristics, spatial clusters and monthly incidence prediction of hand, foot and mouth disease from 2017 to 2022 in Shanxi Province, China.
    Ma Y; Xu S; Dong A; An J; Qin Y; Yang H; Yu H
    Epidemiol Infect; 2023 Mar; 151():e54. PubMed ID: 37039461
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A hybrid model for hand-foot-mouth disease prediction based on ARIMA-EEMD-LSTM.
    Wan Y; Song P; Liu J; Xu X; Lei X
    BMC Infect Dis; 2023 Dec; 23(1):879. PubMed ID: 38102558
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Forecast and early warning of hand, foot, and mouth disease based on meteorological factors: Evidence from a multicity study of 11 meteorological geographical divisions in mainland China.
    Gao Q; Liu Z; Xiang J; Tong M; Zhang Y; Wang S; Zhang Y; Lu L; Jiang B; Bi P
    Environ Res; 2021 Jan; 192():110301. PubMed ID: 33069698
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model.
    Wang Z; Wang Y; Zhang S; Wang S; Xu Z; Feng Z
    BMC Infect Dis; 2024 Jan; 24(1):113. PubMed ID: 38253998
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.
    Wang Y; Xu C; Zhang S; Yang L; Wang Z; Zhu Y; Yuan J
    Sci Rep; 2019 May; 9(1):8046. PubMed ID: 31142826
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan.
    Kuan MM
    PeerJ; 2022; 10():e13117. PubMed ID: 36164599
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A hybrid seasonal prediction model for tuberculosis incidence in China.
    Cao S; Wang F; Tam W; Tse LA; Kim JH; Liu J; Lu Z
    BMC Med Inform Decis Mak; 2013 May; 13():56. PubMed ID: 23638635
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Statistical methods for predicting tuberculosis incidence based on data from Guangxi, China.
    Zheng Y; Zhang L; Wang L; Rifhat R
    BMC Infect Dis; 2020 Apr; 20(1):300. PubMed ID: 32321419
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.