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 *

154 related articles for article (PubMed ID: 32599746)

  • 1. Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics.
    Gónzalez-Bandala DA; Cuevas-Tello JC; Noyola DE; Comas-García A; García-Sepúlveda CA
    Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32599746
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study.
    Cheng HY; Wu YC; Lin MH; Liu YL; Tsai YY; Wu JH; Pan KH; Ke CJ; Chen CM; Liu DP; Lin IF; Chuang JH
    J Med Internet Res; 2020 Aug; 22(8):e15394. PubMed ID: 32755888
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparing Social media and Google to detect and predict severe epidemics.
    Samaras L; García-Barriocanal E; Sicilia MA
    Sci Rep; 2020 Mar; 10(1):4747. PubMed ID: 32179780
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Three-Month Real-Time Dengue Forecast Models: An Early Warning System for Outbreak Alerts and Policy Decision Support in Singapore.
    Shi Y; Liu X; Kok SY; Rajarethinam J; Liang S; Yap G; Chong CS; Lee KS; Tan SS; Chin CK; Lo A; Kong W; Ng LC; Cook AR
    Environ Health Perspect; 2016 Sep; 124(9):1369-75. PubMed ID: 26662617
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Developing a dengue forecast model using machine learning: A case study in China.
    Guo P; Liu T; Zhang Q; Wang L; Xiao J; Zhang Q; Luo G; Li Z; He J; Zhang Y; Ma W
    PLoS Negl Trop Dis; 2017 Oct; 11(10):e0005973. PubMed ID: 29036169
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.
    Thompson RN; Brooks-Pollock E
    Philos Trans R Soc Lond B Biol Sci; 2019 Jun; 374(1775):20190038. PubMed ID: 31056051
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Google Searches and Detection of Conjunctivitis Epidemics Worldwide.
    Deiner MS; McLeod SD; Wong J; Chodosh J; Lietman TM; Porco TC
    Ophthalmology; 2019 Sep; 126(9):1219-1229. PubMed ID: 30981915
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Forecasting Epidemiological and Evolutionary Dynamics of Infectious Diseases.
    Gandon S; Day T; Metcalf CJE; Grenfell BT
    Trends Ecol Evol; 2016 Oct; 31(10):776-788. PubMed ID: 27567404
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applying the Spatial Transmission Network to the Forecast of Infectious Diseases Across Multiple Regions.
    Wang H; Qiu J; Li C; Wan H; Yang C; Zhang T
    Front Public Health; 2022; 10():774984. PubMed ID: 35359784
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Real-time Epidemic Forecasting: Challenges and Opportunities.
    Desai AN; Kraemer MUG; Bhatia S; Cori A; Nouvellet P; Herringer M; Cohn EL; Carrion M; Brownstein JS; Madoff LC; Lassmann B
    Health Secur; 2019; 17(4):268-275. PubMed ID: 31433279
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction.
    Jiménez F; Palma J; Sánchez G; Marín D; Francisco Palacios MD; Lucía López MD
    Artif Intell Med; 2020 Apr; 104():101818. PubMed ID: 32498998
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Forecasting non-stationary diarrhea, acute respiratory infection, and malaria time-series in Niono, Mali.
    Medina DC; Findley SE; Guindo B; Doumbia S
    PLoS One; 2007 Nov; 2(11):e1181. PubMed ID: 18030322
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Incorporating media data into a model of infectious disease transmission.
    Kim L; Fast SM; Markuzon N
    PLoS One; 2019; 14(2):e0197646. PubMed ID: 30716139
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Forecasting the transmission trends of respiratory infectious diseases with an exposure-risk-based model at the microscopic level.
    Cui Z; Cai M; Xiao Y; Zhu Z; Yang M; Chen G
    Environ Res; 2022 Sep; 212(Pt C):113428. PubMed ID: 35568232
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting epidemics using search engine data: a comparative study on measles in the largest countries of Europe.
    Samaras L; Sicilia MA; García-Barriocanal E
    BMC Public Health; 2021 Jan; 21(1):100. PubMed ID: 33472589
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast.
    Chenar SS; Deng Z
    Environ Int; 2018 Feb; 111():212-223. PubMed ID: 29232561
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.
    Panja M; Chakraborty T; Kumar U; Liu N
    Neural Netw; 2023 Aug; 165():185-212. PubMed ID: 37307664
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Epidemic Forecasting is Messier Than Weather Forecasting: The Role of Human Behavior and Internet Data Streams in Epidemic Forecast.
    Moran KR; Fairchild G; Generous N; Hickmann K; Osthus D; Priedhorsky R; Hyman J; Del Valle SY
    J Infect Dis; 2016 Dec; 214(suppl_4):S404-S408. PubMed ID: 28830111
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Can Google Trends data improve forecasting of Lyme disease incidence?
    Kapitány-Fövény M; Ferenci T; Sulyok Z; Kegele J; Richter H; Vályi-Nagy I; Sulyok M
    Zoonoses Public Health; 2019 Feb; 66(1):101-107. PubMed ID: 30447056
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using phenomenological models for forecasting the 2015 Ebola challenge.
    Pell B; Kuang Y; Viboud C; Chowell G
    Epidemics; 2018 Mar; 22():62-70. PubMed ID: 27913131
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.