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 *

157 related articles for article (PubMed ID: 36278888)

  • 1. Forecasting time trends of fatal motor vehicle crashes in Iran using an ensemble learning algorithm.
    Nassiri H; Mohammadpour SI; Dahaghin M
    Traffic Inj Prev; 2023; 24(1):44-49. PubMed ID: 36278888
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Forecasting time trend of road traffic crashes in Iran using the macro-scale traffic flow characteristics.
    Nassiri H; Mohammadpour SI; Dahaghin M
    Heliyon; 2023 Mar; 9(3):e14481. PubMed ID: 36967875
    [TBL] [Abstract][Full Text] [Related]  

  • 3. How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran.
    Nassiri H; Mohammadpour SI; Dahaghin M
    PLoS One; 2022; 17(10):e0276276. PubMed ID: 36256674
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.
    Rahman MS; Abdel-Aty M; Hasan S; Cai Q
    J Safety Res; 2019 Sep; 70():275-288. PubMed ID: 31848006
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Forecasting deaths of road traffic injuries in China using an artificial neural network.
    Qian Y; Zhang X; Fei G; Sun Q; Li X; Stallones L; Xiang H
    Traffic Inj Prev; 2020; 21(6):407-412. PubMed ID: 32500738
    [No Abstract]   [Full Text] [Related]  

  • 6. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
    Sudarshan VK; Brabrand M; Range TM; Wiil UK
    Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Time series based road traffic accidents forecasting via SARIMA and Facebook Prophet model with potential changepoints.
    Agyemang EF; Mensah JA; Ocran E; Opoku E; Nortey ENN
    Heliyon; 2023 Dec; 9(12):e22544. PubMed ID: 38076174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways.
    Wang K; Ivan JN; Ravishanker N; Jackson E
    Accid Anal Prev; 2017 Feb; 99(Pt A):6-19. PubMed ID: 27846421
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Road traffic accidents prediction modelling: An analysis of Anambra State, Nigeria.
    Ihueze CC; Onwurah UO
    Accid Anal Prev; 2018 Mar; 112():21-29. PubMed ID: 29306685
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comparative study on machine learning based algorithms for prediction of motorcycle crash severity.
    Wahab L; Jiang H
    PLoS One; 2019; 14(4):e0214966. PubMed ID: 30947250
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Short-term traffic speed prediction under different data collection time intervals using a SARIMA-SDGM hybrid prediction model.
    Song Z; Guo Y; Wu Y; Ma J
    PLoS One; 2019; 14(6):e0218626. PubMed ID: 31242226
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study.
    Jamal A; Zahid M; Tauhidur Rahman M; Al-Ahmadi HM; Almoshaogeh M; Farooq D; Ahmad M
    Int J Inj Contr Saf Promot; 2021 Dec; 28(4):408-427. PubMed ID: 34060410
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan.
    Kuan MM
    PeerJ; 2022; 10():e13117. PubMed ID: 36164599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
    Ahmad N; Wali B; Khattak AJ
    J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model.
    Zhang X; Pang Y; Cui M; Stallones L; Xiang H
    Ann Epidemiol; 2015 Feb; 25(2):101-6. PubMed ID: 25467006
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying high crash risk segments in rural roads using ensemble decision tree-based models.
    Iranmanesh M; Seyedabrishami S; Moridpour S
    Sci Rep; 2022 Nov; 12(1):20024. PubMed ID: 36414672
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Time trends in gender-specific incidence rates of road traffic injuries in Iran.
    Delavary Foroutaghe M; Mohammadzadeh Moghaddam A; Fakoor V
    PLoS One; 2019; 14(5):e0216462. PubMed ID: 31071156
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data.
    Mohammadpour SI; Khedmati M; Zada MJH
    PLoS One; 2023; 18(3):e0281901. PubMed ID: 36947539
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction and interpretive of motor vehicle traffic crashes severity based on random forest optimized by meta-heuristic algorithm.
    Wang X; Su Y; Zheng Z; Xu L
    Heliyon; 2024 Aug; 10(16):e35595. PubMed ID: 39224374
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.