BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 37185289)

  • 1. An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM.
    Zhang Y; Tang S; Yu G
    Sci Rep; 2023 Apr; 13(1):6708. PubMed ID: 37185289
    [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. Forecasting COVID-19 Pandemic Using Prophet, ARIMA, and Hybrid Stacked LSTM-GRU Models in India.
    Sah S; Surendiran B; Dhanalakshmi R; Mohanty SN; Alenezi F; Polat K
    Comput Math Methods Med; 2022; 2022():1556025. PubMed ID: 35529266
    [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. Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty.
    Zandavi SM; Rashidi TH; Vafaee F
    IEEE Trans Cybern; 2022 Nov; 52(11):11977-11989. PubMed ID: 34735351
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning.
    Garg S; Kumar S; Muhuri PK
    Comput Biol Med; 2022 Oct; 149():105915. PubMed ID: 36063688
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of COVID-19 Data Using Hybrid Modeling Approaches.
    Zhao W; Sun Y; Li Y; Guan W
    Front Public Health; 2022; 10():923978. PubMed ID: 35937245
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.
    Shoaib M; Raja MAZ; Sabir MT; Bukhari AH; Alrabaiah H; Shah Z; Kumam P; Islam S
    Comput Methods Programs Biomed; 2021 Apr; 202():105973. PubMed ID: 33610034
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.
    Jin W; Dong S; Yu C; Luo Q
    Comput Biol Med; 2022 Jul; 146():105560. PubMed ID: 35551008
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Improvement of Time Forecasting Models Using Machine Learning for Future Pandemic Applications Based on COVID-19 Data 2020-2022.
    K Abdul Hamid AA; Wan Mohamad Nawi WIA; Lola MS; Mustafa WA; Abdul Malik SM; Zakaria S; Aruchunan E; Zainuddin NH; Gobithaasan RU; Abdullah MT
    Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980429
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.
    Dong X; Wong R; Lyu W; Abell-Hart K; Deng J; Liu Y; Hajagos JG; Rosenthal RN; Chen C; Wang F
    Artif Intell Med; 2023 Jan; 135():102439. PubMed ID: 36628797
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain.
    Ayyildiz E; Erdogan M; Taskin A
    Comput Biol Med; 2021 Dec; 139():105029. PubMed ID: 34794082
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. COVID-19 in Iran: Forecasting Pandemic Using Deep Learning.
    Kafieh R; Arian R; Saeedizadeh N; Amini Z; Serej ND; Minaee S; Yadav SK; Vaezi A; Rezaei N; Haghjooy Javanmard S
    Comput Math Methods Med; 2021; 2021():6927985. PubMed ID: 33680071
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.
    Wang Y; Xu C; Yao S; Wang L; Zhao Y; Ren J; Li Y
    Sci Rep; 2021 Nov; 11(1):21413. PubMed ID: 34725416
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic.
    Martin-Moreno JM; Alegre-Martinez A; Martin-Gorgojo V; Alfonso-Sanchez JL; Torres F; Pallares-Carratala V
    Int J Environ Res Public Health; 2022 May; 19(9):. PubMed ID: 35564940
    [No Abstract]   [Full Text] [Related]  

  • 19. A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning.
    Liu S; Wan Y; Yang W; Tan A; Jian J; Lei X
    Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612939
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy.
    Perone G
    Eur J Health Econ; 2022 Aug; 23(6):917-940. PubMed ID: 34347175
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.