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 *

151 related articles for article (PubMed ID: 32792047)

  • 21. 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]  

  • 22. Using meta-learning to recommend an appropriate time-series forecasting model.
    Talkhi N; Akhavan Fatemi N; Jabbari Nooghabi M; Soltani E; Jabbari Nooghabi A
    BMC Public Health; 2024 Jan; 24(1):148. PubMed ID: 38200512
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Forecasting the Severity of COVID-19 Pandemic Amidst the Emerging SARS-CoV-2 Variants: Adoption of ARIMA Model.
    Li C; Sampene AK; Agyeman FO; Robert B; Ayisi AL
    Comput Math Methods Med; 2022; 2022():3163854. PubMed ID: 35069779
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study.
    Fang ZG; Yang SQ; Lv CX; An SY; Wu W
    BMJ Open; 2022 Jul; 12(7):e056685. PubMed ID: 35777884
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach.
    Mohan S; Solanki AK; Taluja HK; Anuradha ; Singh A
    Comput Biol Med; 2022 May; 144():105354. PubMed ID: 35240374
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of global omicron pandemic using ARIMA, MLR, and Prophet models.
    Zhao D; Zhang R; Zhang H; He S
    Sci Rep; 2022 Oct; 12(1):18138. PubMed ID: 36307471
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization.
    Nwosu UI; Obite CP
    Results Phys; 2021 Jan; 20():103763. PubMed ID: 33520627
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Forecasting the Spreading of COVID-19 across Nine Countries from Europe, Asia, and the American Continents Using the ARIMA Models.
    Ilie OD; Cojocariu RO; Ciobica A; Timofte SI; Mavroudis I; Doroftei B
    Microorganisms; 2020 Jul; 8(8):. PubMed ID: 32751609
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 32. COVID-19 prevalence estimation: Four most affected African countries.
    Lukman AF; Rauf RI; Abiodun O; Oludoun O; Ayinde K; Ogundokun RO
    Infect Dis Model; 2020; 5():827-838. PubMed ID: 33073068
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. ARIMA modelling & forecasting of COVID-19 in top five affected countries.
    Sahai AK; Rath N; Sood V; Singh MP
    Diabetes Metab Syndr; 2020; 14(5):1419-1427. PubMed ID: 32755845
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review.
    Ghafouri-Fard S; Mohammad-Rahimi H; Motie P; Minabi MAS; Taheri M; Nateghinia S
    Heliyon; 2021 Oct; 7(10):e08143. PubMed ID: 34660935
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of hepatitis E using machine learning models.
    Guo Y; Feng Y; Qu F; Zhang L; Yan B; Lv J
    PLoS One; 2020; 15(9):e0237750. PubMed ID: 32941452
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population.
    Li Z; Wang Z; Song H; Liu Q; He B; Shi P; Ji Y; Xu D; Wang J
    Infect Drug Resist; 2019; 12():1011-1020. PubMed ID: 31118707
    [No Abstract]   [Full Text] [Related]  

  • 38. Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.
    Yang P; Cheng P; Zhang N; Luo D; Xu B; Zhang H
    Front Public Health; 2024; 12():1401161. PubMed ID: 39022407
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Analysis and Estimation of COVID-19 Spreading in Russia Based on ARIMA Model.
    Fang L; Wang D; Pan G
    SN Compr Clin Med; 2020; 2(12):2521-2527. PubMed ID: 33052321
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prognosticating the Spread of Covid-19 Pandemic Based on Optimal Arima Estimators.
    Sandhir V; Kumar V; Kumar V
    Endocr Metab Immune Disord Drug Targets; 2021; 21(4):586-591. PubMed ID: 33121426
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.