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 *

112 related articles for article (PubMed ID: 37089306)

  • 1. ANN-LSTM: A deep learning model for early student performance prediction in MOOC.
    Al-Azazi FA; Ghurab M
    Heliyon; 2023 Apr; 9(4):e15382. PubMed ID: 37089306
    [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. Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions.
    Han S; Meng Z; Zhang X; Yan Y
    Micromachines (Basel); 2021 Feb; 12(2):. PubMed ID: 33672478
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance.
    Lu H; Ehwerhemuepha L; Rakovski C
    BMC Med Res Methodol; 2022 Jul; 22(1):181. PubMed ID: 35780100
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.
    Reddy BK; Delen D
    Comput Biol Med; 2018 Oct; 101():199-209. PubMed ID: 30195164
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Splice-site identification for exon prediction using bidirectional LSTM-RNN approach.
    Singh N; Nath R; Singh DB
    Biochem Biophys Rep; 2022 Jul; 30():101285. PubMed ID: 35663929
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Students' adaptive deep learning path and teaching strategy of contemporary ceramic art under the background of Internet.
    Zhang R; Yao X; Ye L; Chen M
    Front Psychol; 2022; 13():938840. PubMed ID: 36118465
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Economic Forecasting Method Based on the LightGBM-Optimized LSTM and Time-Series Model.
    Lv J; Wang C; Gao W; Zhao Q
    Comput Intell Neurosci; 2021; 2021():8128879. PubMed ID: 34621309
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Head Movement in 360-Degree Videos Using Attention Model.
    Lee D; Choi M; Lee J
    Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34070560
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting complications of diabetes mellitus using advanced machine learning algorithms.
    Ljubic B; Hai AA; Stanojevic M; Diaz W; Polimac D; Pavlovski M; Obradovic Z
    J Am Med Inform Assoc; 2020 Jul; 27(9):1343-1351. PubMed ID: 32869093
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A survival analysis based volatility and sparsity modeling network for student dropout prediction.
    Pan F; Huang B; Zhang C; Zhu X; Wu Z; Zhang M; Ji Y; Ma Z; Li Z
    PLoS One; 2022; 17(5):e0267138. PubMed ID: 35512010
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of neural basis expansion analysis for interpretable time series (N-BEATS) and recurrent neural networks for heart dysfunction classification.
    Puszkarski B; Hryniów K; Sarwas G
    Physiol Meas; 2022 Jun; 43(6):. PubMed ID: 35537407
    [No Abstract]   [Full Text] [Related]  

  • 14. Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.
    Chui KT; Gupta BB; Liu RW; Zhang X; Vasant P; Thomas JJ
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640732
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A novel recurrent neural network approach in forecasting short term solar irradiance.
    Jaihuni M; Basak JK; Khan F; Okyere FG; Sihalath T; Bhujel A; Park J; Lee DH; Kim HT
    ISA Trans; 2022 Feb; 121():63-74. PubMed ID: 33840460
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Four Major South Korea's Rivers Using Deep Learning Models.
    Lee S; Lee D
    Int J Environ Res Public Health; 2018 Jun; 15(7):. PubMed ID: 29937531
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models.
    Kouadri S; Pande CB; Panneerselvam B; Moharir KN; Elbeltagi A
    Environ Sci Pollut Res Int; 2022 Mar; 29(14):21067-21091. PubMed ID: 34748181
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An integrated 3D CNN-GRU deep learning method for short-term prediction of PM2.5 concentration in urban environment.
    Faraji M; Nadi S; Ghaffarpasand O; Homayoni S; Downey K
    Sci Total Environ; 2022 Aug; 834():155324. PubMed ID: 35452742
    [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 6.