These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 28817101)

  • 21. 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]  

  • 22. [Application of autoregressive integrated moving average model to predict and analyze the incidence trend of mumps in Jiangxi Province].
    Zhao YQ; Shi JH; Xu F; Guo SC
    Zhonghua Liu Xing Bing Xue Za Zhi; 2023 Dec; 44(12):1911-1915. PubMed ID: 38129147
    [No Abstract]   [Full Text] [Related]  

  • 23. Seasonal behavior and forecasting trends of tuberculosis incidence in Holy Kerbala, Iraq.
    Mohammed SH; Ahmed MM; Al-Mousawi AM; Azeez A
    Int J Mycobacteriol; 2018; 7(4):361-367. PubMed ID: 30531036
    [TBL] [Abstract][Full Text] [Related]  

  • 24. [Epidemic profile of mumps in China during 2004-2013].
    Su QR; Liu J; Ma C; Fan CX; Wen N; Luo HM; Wang HQ; Li L; Hao LX
    Zhonghua Yu Fang Yi Xue Za Zhi; 2016 Jul; 50(7):611-4. PubMed ID: 27412837
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Prediction of reported monthly incidence of hepatitis B in Hainan Province of China based on SARIMA-BPNN model.
    Fang K; Cao L; Fu Z; Li W
    Medicine (Baltimore); 2023 Oct; 102(41):e35054. PubMed ID: 37832091
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Time series analysis and forecasting of chlamydia trachomatis incidence using surveillance data from 2008 to 2019 in Shenzhen, China.
    Weng RX; Fu HL; Zhang CL; Ye JB; Hong FC; Chen XS; Cai YM
    Epidemiol Infect; 2020 Mar; 148():e76. PubMed ID: 32178748
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Effects of meteorological factors on the incidence of mumps and models for prediction, China.
    Zha WT; Li WT; Zhou N; Zhu JJ; Feng R; Li T; Du YB; Liu Y; Hong XQ; Lv Y
    BMC Infect Dis; 2020 Jul; 20(1):468. PubMed ID: 32615923
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Prediction of visceral leishmaniasis incidence using the Seasonal Autoregressive Integrated Moving Average model (SARIMA) in the state of Maranhão, Brazil.
    Pimentel KBA; Oliveira RS; Aragão CF; Aquino Júnior J; Moura MES; Guimarães-E-Silva AS; Pinheiro VCS; Gonçalves EGR; Silva AR
    Braz J Biol; 2022; 84():e257402. PubMed ID: 35081217
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A hybrid model for short-term bacillary dysentery prediction in Yichang City, China.
    Yan W; Xu Y; Yang X; Zhou Y
    Jpn J Infect Dis; 2010 Jul; 63(4):264-70. PubMed ID: 20657066
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Time-series analysis of tuberculosis from 2005 to 2017 in China.
    Wang H; Tian CW; Wang WM; Luo XM
    Epidemiol Infect; 2018 Jun; 146(8):935-939. PubMed ID: 29708082
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Forecasting and prediction of scorpion sting cases in Biskra province, Algeria, using a seasonal autoregressive integrated moving average model.
    Selmane S; L'Hadj M
    Epidemiol Health; 2016; 38():e2016044. PubMed ID: 27866407
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Time Series Models for Short Term Prediction of the Incidence of Japanese Encephalitis in Xianyang City, P R China
    Zhang RQ; Li FY; Liu JL; Liu MN; Luo WR; Ma T; Ma B; Zhang ZG
    Chin Med Sci J; 2017 Sep; 32(3):152-160. PubMed ID: 28956742
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Burden of disease measured by disability-adjusted life years and a disease forecasting time series model of scrub typhus in Laiwu, China.
    Yang LP; Liang SY; Wang XJ; Li XJ; Wu YL; Ma W
    PLoS Negl Trop Dis; 2015 Jan; 9(1):e3420. PubMed ID: 25569248
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. 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]  

  • 40. Predicting the incidence of rifampicin resistant tuberculosis in Yunnan, China: a seasonal time series analysis based on routine surveillance data.
    Yang YB; Liu LL; Chen JO; Li L; Qiu YB; Wu W; Xu L
    BMC Infect Dis; 2024 Aug; 24(1):835. PubMed ID: 39152374
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.