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 *

110 related articles for article (PubMed ID: 34456617)

  • 1. Prediction of the COVID-19 infectivity and the sustainable impact on public health under deep learning algorithm.
    Wang W; Cai J; Xu J; Wang Y; Zou Y
    Soft comput; 2023; 27(5):2695-2704. PubMed ID: 34456617
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions.
    Yang Z; Zeng Z; Wang K; Wong SS; Liang W; Zanin M; Liu P; Cao X; Gao Z; Mai Z; Liang J; Liu X; Li S; Li Y; Ye F; Guan W; Yang Y; Li F; Luo S; Xie Y; Liu B; Wang Z; Zhang S; Wang Y; Zhong N; He J
    J Thorac Dis; 2020 Mar; 12(3):165-174. PubMed ID: 32274081
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Epidemic characteristics and trend analysis of the COVID-19 in Hubei province].
    Song Y; Liu M; Jia WP; Wang SS; Cao WZ; Han K; Yang SS; Li J; Chen Z; He Y
    Zhonghua Liu Xing Bing Xue Za Zhi; 2020 Apr; 41(0):E053. PubMed ID: 32340091
    [No Abstract]   [Full Text] [Related]  

  • 4. Risk estimation and prediction of the transmission of coronavirus disease-2019 (COVID-19) in the mainland of China excluding Hubei province.
    Wan H; Cui JA; Yang GJ
    Infect Dis Poverty; 2020 Aug; 9(1):116. PubMed ID: 32831142
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Study on the epidemic development of COVID-19 in Hubei province by a modified SEIR model].
    Cao S; Feng P; Shi P
    Zhejiang Da Xue Xue Bao Yi Xue Ban; 2020 May; 49(2):178-184. PubMed ID: 32391661
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling the epidemic dynamics and control of COVID-19 outbreak in China.
    Zhao S; Chen H
    Quant Biol; 2020; 8(1):11-19. PubMed ID: 32219006
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Basic reproduction number and predicted trends of coronavirus disease 2019 epidemic in the mainland of China.
    Li Y; Wang LW; Peng ZH; Shen HB
    Infect Dis Poverty; 2020 Jul; 9(1):94. PubMed ID: 32678056
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
    Ayoobi N; Sharifrazi D; Alizadehsani R; Shoeibi A; Gorriz JM; Moosaei H; Khosravi A; Nahavandi S; Gholamzadeh Chofreh A; Goni FA; Klemeš JJ; Mosavi A
    Results Phys; 2021 Aug; 27():104495. PubMed ID: 34221854
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach.
    Zhou L; Zhao C; Liu N; Yao X; Cheng Z
    Eng Appl Artif Intell; 2023 Jun; 122():106157. PubMed ID: 36968247
    [TBL] [Abstract][Full Text] [Related]  

  • 10. COVID-19 in Bangladesh: A Deeper Outlook into The Forecast with Prediction of Upcoming Per Day Cases Using Time Series.
    Mohammad Masum AK; Khushbu SA; Keya M; Abujar S; Hossain SA
    Procedia Comput Sci; 2020; 178():291-300. PubMed ID: 33520018
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Time series forecasting of COVID-19 transmission in Canada using LSTM networks.
    Chimmula VKR; Zhang L
    Chaos Solitons Fractals; 2020 Jun; 135():109864. PubMed ID: 32390691
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020.
    Roosa K; Lee Y; Luo R; Kirpich A; Rothenberg R; Hyman JM; Yan P; Chowell G
    Infect Dis Model; 2020; 5():256-263. PubMed ID: 32110742
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Coronavirus disease 2019 epidemic prediction in Shanghai under the "dynamic zero-COVID policy" using time-dependent SEAIQR model.
    Ma Y; Xu S; An Q; Qin M; Li S; Lu K; Li J; Lei L; He L; Yu H; Xie J
    J Biosaf Biosecur; 2022 Dec; 4(2):105-113. PubMed ID: 35756701
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The prediction and analysis of COVID-19 epidemic trend by combining LSTM and Markov method.
    Ma R; Zheng X; Wang P; Liu H; Zhang C
    Sci Rep; 2021 Aug; 11(1):17421. PubMed ID: 34465820
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Epidemic trend of COVID-19 in Chinese mainland].
    Zhu ZB; Zhong CK; Zhang KX; Dong C; Peng H; Xu T; Wang AL; Guo ZR; Zhang YH
    Zhonghua Yu Fang Yi Xue Za Zhi; 2020 Jun; 54(6):620-624. PubMed ID: 32125133
    [No Abstract]   [Full Text] [Related]  

  • 17. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM.
    Shahid F; Zameer A; Muneeb M
    Chaos Solitons Fractals; 2020 Nov; 140():110212. PubMed ID: 32839642
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of numbers of the accumulative confirmed patients (NACP) and the plateau phase of 2019-nCoV in China.
    Pei L
    Cogn Neurodyn; 2020 Jun; 14(3):411-424. PubMed ID: 32341718
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The analysis of isolation measures for epidemic control of COVID-19.
    Huang B; Zhu Y; Gao Y; Zeng G; Zhang J; Liu J; Liu L
    Appl Intell (Dordr); 2021; 51(5):3074-3085. PubMed ID: 34764586
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adoption of improved neural network blade pattern recognition in prevention and control of corona virus disease-19 pandemic.
    Ma Y; Li Z; Gou J; Ding L; Yang D; Feng G
    Pattern Recognit Lett; 2021 Nov; 151():275-280. PubMed ID: 34538992
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.