BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 33693379)

  • 1. AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures.
    Kaushik S; Choudhury A; Sheron PK; Dasgupta N; Natarajan S; Pickett LA; Dutt V
    Front Big Data; 2020; 3():4. PubMed ID: 33693379
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Comparison of ARIMA and LSTM in Forecasting the Incidence of HFMD Combined and Uncombined with Exogenous Meteorological Variables in Ningbo, China.
    Zhang R; Guo Z; Meng Y; Wang S; Li S; Niu R; Wang Y; Guo Q; Li Y
    Int J Environ Res Public Health; 2021 Jun; 18(11):. PubMed ID: 34200378
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using LSTM and ARIMA to Simulate and Predict Limestone Price Variations.
    Mbah TJ; Ye H; Zhang J; Long M
    Min Metall Explor; 2021; 38(2):913-926. PubMed ID: 33426475
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Application of a hybrid ARIMA-LSTM model based on the SPEI for drought forecasting.
    Xu D; Zhang Q; Ding Y; Zhang D
    Environ Sci Pollut Res Int; 2022 Jan; 29(3):4128-4144. PubMed ID: 34403057
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PM
    García Nieto PJ; Sánchez Lasheras F; García-Gonzalo E; de Cos Juez FJ
    Sci Total Environ; 2018 Apr; 621():753-761. PubMed ID: 29202286
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach.
    Alamrouni A; Aslanova F; Mati S; Maccido HS; Jibril AA; Usman AG; Abba SI
    Int J Environ Res Public Health; 2022 Jan; 19(2):. PubMed ID: 35055559
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting machine's performance record using the stacked long short-term memory (LSTM) neural networks.
    Ma M; Liu C; Wei R; Liang B; Dai J
    J Appl Clin Med Phys; 2022 Mar; 23(3):e13558. PubMed ID: 35170838
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China.
    Lou HR; Wang X; Gao Y; Zeng Q
    BMC Public Health; 2022 Nov; 22(1):2167. PubMed ID: 36434563
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China.
    Wang G; Wei W; Jiang J; Ning C; Chen H; Huang J; Liang B; Zang N; Liao Y; Chen R; Lai J; Zhou O; Han J; Liang H; Ye L
    Epidemiol Infect; 2019 Jan; 147():e194. PubMed ID: 31364559
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparative Evaluation of the Multilayer Perceptron Approach with Conventional ARIMA in Modeling and Prediction of COVID-19 Daily Death Cases.
    Qureshi M; Daniyal M; Tawiah K
    J Healthc Eng; 2022; 2022():4864920. PubMed ID: 36406332
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow.
    Chen Q; Wen D; Li X; Chen D; Lv H; Zhang J; Gao P
    PLoS One; 2019; 14(9):e0222365. PubMed ID: 31509599
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An ensemble long short-term memory neural network for hourly PM
    Bai Y; Zeng B; Li C; Zhang J
    Chemosphere; 2019 May; 222():286-294. PubMed ID: 30708163
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparative study on predicting influenza outbreaks.
    Zhang J; Nawata K
    Biosci Trends; 2017 Nov; 11(5):533-541. PubMed ID: 29070762
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Prediction of Influenza-like Illness and Respiratory Disease Using LSTM and ARIMA.
    Tsan YT; Chen DY; Liu PY; Kristiani E; Nguyen KLP; Yang CT
    Int J Environ Res Public Health; 2022 Feb; 19(3):. PubMed ID: 35162879
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Taming the Chaos in Neural Network Time Series Predictions.
    Raubitzek S; Neubauer T
    Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828122
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks.
    Wu W; An SY; Guan P; Huang DS; Zhou BS
    BMC Infect Dis; 2019 May; 19(1):414. PubMed ID: 31088391
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.