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 *

154 related articles for article (PubMed ID: 38745459)

  • 1. Using neural ordinary differential equations to predict complex ecological dynamics from population density data.
    Arroyo-Esquivel J; Klausmeier CA; Litchman E
    J R Soc Interface; 2024 May; 21(214):20230604. PubMed ID: 38745459
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models.
    Adeyinka DA; Muhajarine N
    BMC Med Res Methodol; 2020 Dec; 20(1):292. PubMed ID: 33267817
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
    Vlachas PR; Pathak J; Hunt BR; Sapsis TP; Girvan M; Ott E; Koumoutsakos P
    Neural Netw; 2020 Jun; 126():191-217. PubMed ID: 32248008
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit.
    Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Metke-Jimenez A; Rudd L; Jorm L
    J Biomed Inform; 2023 Oct; 146():104498. PubMed ID: 37699466
    [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. How complex should models be? Comparing correlative and mechanistic range dynamics models.
    Fordham DA; Bertelsmeier C; Brook BW; Early R; Neto D; Brown SC; Ollier S; Araújo MB
    Glob Chang Biol; 2018 Mar; 24(3):1357-1370. PubMed ID: 29152817
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Attractor Ranked Radial Basis Function Network: A Nonparametric Forecasting Approach for Chaotic Dynamic Systems.
    Masnadi-Shirazi M; Subramaniam S
    Sci Rep; 2020 Mar; 10(1):3780. PubMed ID: 32123218
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies.
    Suradhaniwar S; Kar S; Durbha SS; Jagarlapudi A
    Sensors (Basel); 2021 Apr; 21(7):. PubMed ID: 33916026
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities.
    Johnson-Bice SM; Ferguson JM; Erb JD; Gable TD; Windels SK
    Ecol Appl; 2021 Jan; 31(1):e02198. PubMed ID: 32583507
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India.
    Paul RK; Yeasin M; Kumar P; Kumar P; Balasubramanian M; Roy HS; Paul AK; Gupta A
    PLoS One; 2022; 17(7):e0270553. PubMed ID: 35793366
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Monthly precipitation prediction in Luoyang city based on EEMD-LSTM-ARIMA model.
    Zhao J; Nie G; Wen Y
    Water Sci Technol; 2023 Jan; 87(1):318-335. PubMed ID: 36640040
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of ARIMA and LSTM for prediction of hemorrhagic fever at different time scales in China.
    Zhang R; Song H; Chen Q; Wang Y; Wang S; Li Y
    PLoS One; 2022; 17(1):e0262009. PubMed ID: 35030203
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition.
    Zhang X; Zhang Q; Zhang G; Nie Z; Gui Z; Que H
    Int J Environ Res Public Health; 2018 May; 15(5):. PubMed ID: 29883381
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparative optimization of global solar radiation forecasting using machine learning and time series models.
    Belmahdi B; Louzazni M; El Bouardi A
    Environ Sci Pollut Res Int; 2022 Feb; 29(10):14871-14888. PubMed ID: 34625894
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling.
    Gajamannage K; Jayathilake DI; Park Y; Bollt EM
    Chaos; 2023 Jan; 33(1):013109. PubMed ID: 36725658
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Good times bad times: Automated forecasting of seasonal cryptosporidiosis in Ontario using machine learning.
    Berke O; Trotz-Williams L; de Montigny S
    Can Commun Dis Rep; 2020 Jun; 46(6):192-197. PubMed ID: 32673377
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of Improved LSTM Algorithm in Macroeconomic Forecasting.
    Chen S; Han X; Shen Y; Ye C
    Comput Intell Neurosci; 2021; 2021():4471044. PubMed ID: 34754302
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China.
    Li X; Zhang X
    Environ Sci Pollut Res Int; 2023 Nov; 30(55):117485-117502. PubMed ID: 37867169
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Constraining nonlinear time series modeling with the metabolic theory of ecology.
    Munch SB; Rogers TL; Symons CC; Anderson D; Pennekamp F
    Proc Natl Acad Sci U S A; 2023 Mar; 120(12):e2211758120. PubMed ID: 36930600
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.