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 *

215 related articles for article (PubMed ID: 39022407)

  • 21. A Hybrid Approach Based on Seasonal Autoregressive Integrated Moving Average and Neural Network Autoregressive Models to Predict Scorpion Sting Incidence in El Oued Province, Algeria, From 2005 to 2020.
    Zenia S; L'Hadj M; Selmane S
    J Res Health Sci; 2023 Sep; 23(3):e00586. PubMed ID: 38315901
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Prediction and analysis of COVID-19 daily new cases and cumulative cases: times series forecasting and machine learning models.
    Wang Y; Yan Z; Wang D; Yang M; Li Z; Gong X; Wu D; Zhai L; Zhang W; Wang Y
    BMC Infect Dis; 2022 May; 22(1):495. PubMed ID: 35614387
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.
    Ye GH; Alim M; Guan P; Huang DS; Zhou BS; Wu W
    PLoS One; 2021; 16(3):e0248597. PubMed ID: 33725011
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses.
    Liu Q; Li Z; Ji Y; Martinez L; Zia UH; Javaid A; Lu W; Wang J
    Infect Drug Resist; 2019; 12():2311-2322. PubMed ID: 31440067
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a hybrid approaches.
    Sarvestani SE; Hatam N; Seif M; Kasraian L; Lari FS; Bayati M
    Sci Rep; 2022 Dec; 12(1):22031. PubMed ID: 36539511
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China.
    Feng T; Zheng Z; Xu J; Liu M; Li M; Jia H; Yu X
    Front Public Health; 2022; 10():946563. PubMed ID: 35937210
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The development of a combined mathematical model to forecast the incidence of hepatitis E in Shanghai, China.
    Ren H; Li J; Yuan ZA; Hu JY; Yu Y; Lu YH
    BMC Infect Dis; 2013 Sep; 13():421. PubMed ID: 24010871
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province.
    Yang W; Su A; Ding L
    BMC Public Health; 2023 Nov; 23(1):2309. PubMed ID: 37993836
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Seasonal behavior and forecasting trends of tuberculosis incidence in Holy Kerbala, Iraq.
    Mohammed SH; Ahmed MM; Al-Mousawi AM; Azeez A
    Int J Mycobacteriol; 2018; 7(4):361-367. PubMed ID: 30531036
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 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]  

  • 33. Recurrent neural network architecture for forecasting banana prices in Gujarat, India.
    Kumari P; Goswami V; N H; Pundir RS
    PLoS One; 2023; 18(6):e0275702. PubMed ID: 37319281
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Forecasting daily emergency department visits using calendar variables and ambient temperature readings.
    Marcilio I; Hajat S; Gouveia N
    Acad Emerg Med; 2013 Aug; 20(8):769-77. PubMed ID: 24033619
    [TBL] [Abstract][Full Text] [Related]  

  • 35. [Prediction of schistosomiasis infection rates of population based on ARIMA-NARNN model].
    Ke-Wei W; Yu W; Jin-Ping L; Yu-Yu J
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2016 Jul; 28(6):630-634. PubMed ID: 29469251
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China.
    Zou JJ; Jiang GF; Xie XX; Huang J; Yang XB
    Medicine (Baltimore); 2019 Feb; 98(6):e14195. PubMed ID: 30732135
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models.
    Chen Q; Zheng X; Shi H; Zhou Q; Hu H; Sun M; Xu Y; Zhang X
    BMC Public Health; 2024 May; 24(1):1399. PubMed ID: 38796443
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Power consumption prediction for electric vehicle charging stations and forecasting income.
    Akshay KC; Grace GH; Gunasekaran K; Samikannu R
    Sci Rep; 2024 Mar; 14(1):6497. PubMed ID: 38499576
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of reported monthly incidence of hepatitis B in Hainan Province of China based on SARIMA-BPNN model.
    Fang K; Cao L; Fu Z; Li W
    Medicine (Baltimore); 2023 Oct; 102(41):e35054. PubMed ID: 37832091
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.