BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 38064398)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China.
    Zhao Z; Zhai M; Li G; Gao X; Song W; Wang X; Ren H; Cui Y; Qiao Y; Ren J; Chen L; Qiu L
    BMC Infect Dis; 2023 Feb; 23(1):71. PubMed ID: 36747126
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Forecasting seasonal influenza activity in Canada-Comparing seasonal Auto-Regressive integrated moving average and artificial neural network approaches for public health preparedness.
    Orang A; Berke O; Poljak Z; Greer AL; Rees EE; Ng V
    Zoonoses Public Health; 2024 May; 71(3):304-313. PubMed ID: 38331569
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.
    Wang YW; Shen ZZ; Jiang Y
    BMJ Open; 2019 Jun; 9(6):e025773. PubMed ID: 31209084
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of SARIMA model, Holt-winters model and ETS model in predicting the incidence of foodborne disease.
    Xian X; Wang L; Wu X; Tang X; Zhai X; Yu R; Qu L; Ye M
    BMC Infect Dis; 2023 Nov; 23(1):803. PubMed ID: 37974072
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting Seasonal Influenza Based on SARIMA Model, in Mainland China from 2005 to 2018.
    Cong J; Ren M; Xie S; Wang P
    Int J Environ Res Public Health; 2019 Nov; 16(23):. PubMed ID: 31783697
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Epidemiology and time series analysis of human brucellosis in Tebessa province, Algeria, from 2000 to 2020.
    Akermi SE; L'Hadj M; Selmane S
    J Res Health Sci; 2022 Mar; 22(1):e00544. PubMed ID: 36511254
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Hybrid Approach Based on Seasonal Autoregressive Integrated Moving Average and Neural Network Autoregressive Models to Predict Scorpion Sting Incidence in El Oued Province, Algeria, From 2005 to 2020.
    Zenia S; L'Hadj M; Selmane S
    J Res Health Sci; 2023 Sep; 23(3):e00586. PubMed ID: 38315901
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A hybrid model for tuberculosis forecasting based on empirical mode decomposition in China.
    Zhao R; Liu J; Zhao Z; Zhai M; Ren H; Wang X; Li Y; Cui Y; Qiao Y; Ren J; Chen L; Qiu L
    BMC Infect Dis; 2023 Oct; 23(1):665. PubMed ID: 37805543
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Seasonality and trend prediction of scarlet fever incidence in mainland China from 2004 to 2018 using a hybrid SARIMA-NARX model.
    Wang Y; Xu C; Wang Z; Yuan J
    PeerJ; 2019; 7():e6165. PubMed ID: 30671295
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecast of the trend in incidence of acute hemorrhagic conjunctivitis in China from 2011-2019 using the Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ETS) models.
    Liu H; Li C; Shao Y; Zhang X; Zhai Z; Wang X; Qi X; Wang J; Hao Y; Wu Q; Jiao M
    J Infect Public Health; 2020 Feb; 13(2):287-294. PubMed ID: 31953020
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Combined Model of SARIMA and Prophet Models in Forecasting AIDS Incidence in Henan Province, China.
    Luo Z; Jia X; Bao J; Song Z; Zhu H; Liu M; Yang Y; Shi X
    Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627447
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Time series model for forecasting the number of new admission inpatients.
    Zhou L; Zhao P; Wu D; Cheng C; Huang H
    BMC Med Inform Decis Mak; 2018 Jun; 18(1):39. PubMed ID: 29907102
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.