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 *

459 related articles for article (PubMed ID: 34071801)

  • 1. One-Year Lesson: Machine Learning Prediction of COVID-19 Positive Cases with Meteorological Data and Mobility Estimate in Japan.
    Rashed EA; Hirata A
    Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34071801
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
    Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
    J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
    [TBL] [Abstract][Full Text] [Related]  

  • 3. How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis.
    Castro LA; Shelley CD; Osthus D; Michaud I; Mitchell J; Manore CA; Del Valle SY
    JMIR Public Health Surveill; 2021 Jun; 7(6):e27888. PubMed ID: 34003763
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative study of machine learning methods for COVID-19 transmission forecasting.
    Dairi A; Harrou F; Zeroual A; Hittawe MM; Sun Y
    J Biomed Inform; 2021 Jun; 118():103791. PubMed ID: 33915272
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using a simple open-source automated machine learning algorithm to forecast COVID-19 spread: A modelling study.
    Asfahan S; Gopalakrishnan M; Dutt N; Niwas R; Chawla G; Agarwal M; Garg MK
    Adv Respir Med; 2020; 88(5):400-405. PubMed ID: 33169811
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency.
    Tang C; Todo Y; Kodera S; Sun R; Shimada A; Hirata A
    Neural Netw; 2024 Nov; 179():106527. PubMed ID: 39029298
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic.
    Jiao F; Huang L; Song R; Huang H
    Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502841
    [TBL] [Abstract][Full Text] [Related]  

  • 8. COVID-19 spread control policies based early dynamics forecasting using deep learning algorithm.
    Ali F; Ullah F; Khan JI; Khan J; Sardar AW; Lee S
    Chaos Solitons Fractals; 2023 Feb; 167():112984. PubMed ID: 36530380
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Spatiotemporal Model for COVID-19 Forecasting.
    Muñoz-Organero M; Queipo-Álvarez P
    Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591208
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Infectivity Upsurge by COVID-19 Viral Variants in Japan: Evidence from Deep Learning Modeling.
    Rashed EA; Hirata A
    Int J Environ Res Public Health; 2021 Jul; 18(15):. PubMed ID: 34360092
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana.
    Muhammad LJ; Haruna AA; Sharif US; Mohammed MB
    Health Technol (Berl); 2022; 12(6):1259-1276. PubMed ID: 36406187
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach.
    Prasanth S; Singh U; Kumar A; Tikkiwal VA; Chong PHJ
    Chaos Solitons Fractals; 2021 Jan; 142():110336. PubMed ID: 33110297
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Simple mathematical model for predicting COVID-19 outbreaks in Japan based on epidemic waves with a cyclical trend.
    Manabe H; Manabe T; Honda Y; Kawade Y; Kambayashi D; Manabe Y; Kudo K
    BMC Infect Dis; 2024 May; 24(1):465. PubMed ID: 38724890
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA.
    Liu Q; Fung DLX; Lac L; Hu P
    Front Public Health; 2021; 9():741030. PubMed ID: 34692627
    [No Abstract]   [Full Text] [Related]  

  • 15. Forecasting COVID-19 new cases using deep learning methods.
    Xu L; Magar R; Barati Farimani A
    Comput Biol Med; 2022 May; 144():105342. PubMed ID: 35247764
    [TBL] [Abstract][Full Text] [Related]  

  • 16. LSTM-based recurrent neural network provides effective short term flu forecasting.
    Amendolara AB; Sant D; Rotstein HG; Fortune E
    BMC Public Health; 2023 Sep; 23(1):1788. PubMed ID: 37710241
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy.
    Sciannameo V; Goffi A; Maffeis G; Gianfreda R; Jahier Pagliari D; Filippini T; Mancuso P; Giorgi-Rossi P; Alberto Dal Zovo L; Corbari A; Vinceti M; Berchialla P
    J Biomed Inform; 2022 Aug; 132():104132. PubMed ID: 35835438
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting the spread of COVID-19 using LSTM network.
    Kumar S; Sharma R; Tsunoda T; Kumarevel T; Sharma A
    BMC Bioinformatics; 2021 Jun; 22(Suppl 6):316. PubMed ID: 34112086
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning in public health: Comparative predictive models for COVID-19 case forecasting.
    Tariq MU; Ismail SB
    PLoS One; 2024; 19(3):e0294289. PubMed ID: 38483948
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
    Sudarshan VK; Brabrand M; Range TM; Wiil UK
    Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.