BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

260 related articles for article (PubMed ID: 36968247)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.
    Khullar S; Singh N
    Environ Sci Pollut Res Int; 2022 Feb; 29(9):12875-12889. PubMed ID: 33988840
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
    Singla P; Duhan M; Saroha S
    Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
    Butt FM; Hussain L; Mahmood A; Lone KJ
    Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A novel bidirectional LSTM deep learning approach for COVID-19 forecasting.
    Aung NN; Pang J; Chua MCH; Tan HX
    Sci Rep; 2023 Oct; 13(1):17953. PubMed ID: 37863921
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs.
    Yu W; Wang X; Jiang X; Zhao R; Zhao S
    Environ Sci Pollut Res Int; 2024 Jan; 31(1):262-279. PubMed ID: 38015396
    [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. Time series forecasting of COVID-19 infections and deaths in Alpha and Delta variants using LSTM networks.
    Sheikhi F; Kowsari Z
    PLoS One; 2023; 18(10):e0282624. PubMed ID: 37862318
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning models for forecasting dengue fever based on climate data in Vietnam.
    Nguyen VH; Tuyet-Hanh TT; Mulhall J; Minh HV; Duong TQ; Chien NV; Nhung NTT; Lan VH; Minh HB; Cuong D; Bich NN; Quyen NH; Linh TNQ; Tho NT; Nghia ND; Anh LVQ; Phan DTM; Hung NQV; Son MT
    PLoS Negl Trop Dis; 2022 Jun; 16(6):e0010509. PubMed ID: 35696432
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries.
    Aldhyani THH; Alkahtani H
    Life (Basel); 2021 Oct; 11(11):. PubMed ID: 34832994
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Forecasting the Status of Municipal Waste in Smart Bins Using Deep Learning.
    Ahmed S; Mubarak S; Du JT; Wibowo S
    Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554676
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Temporal deep learning architecture for prediction of COVID-19 cases in India.
    Verma H; Mandal S; Gupta A
    Expert Syst Appl; 2022 Jun; 195():116611. PubMed ID: 35153389
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 13.