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 *

124 related articles for article (PubMed ID: 38284989)

  • 1. Understanding key contributing factors on the severity of traffic violations by elderly drivers: a hybrid approach of latent class analysis and XGBoost based SHAP.
    Sun Z; Wang Z; Qi X; Wang D; Gu X; Wang J; Lu H; Chen Y
    Int J Inj Contr Saf Promot; 2024 Jun; 31(2):273-293. PubMed ID: 38284989
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Taxi drivers' traffic violations detection using random forest algorithm: A case study in China.
    Wan M; Wu Q; Yan L; Guo J; Li W; Lin W; Lu S
    Traffic Inj Prev; 2023; 24(4):362-370. PubMed ID: 36976788
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A systematic approach to macro-level safety assessment and contributing factors analysis considering traffic crashes and violations.
    Wang X; Zhang X; Pei Y
    Accid Anal Prev; 2024 Jan; 194():107323. PubMed ID: 37864889
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Investigating the self-reported behavior of drivers and their attitudes to traffic violations.
    Vardaki S; Yannis G
    J Safety Res; 2013 Sep; 46():1-11. PubMed ID: 23932680
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers.
    Yuan Y; Yang M; Guo Y; Rasouli S; Gan Z; Ren Y
    J Safety Res; 2021 Feb; 76():154-165. PubMed ID: 33653546
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analyzing fault and severity in pedestrian-motor vehicle accidents in China.
    Zhang G; Yau KK; Zhang X
    Accid Anal Prev; 2014 Dec; 73():141-50. PubMed ID: 25238293
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter?
    Zahid M; Chen Y; Khan S; Jamal A; Ijaz M; Ahmed T
    Int J Environ Res Public Health; 2020 Jun; 17(11):. PubMed ID: 32498347
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model.
    Chang F; Xu P; Zhou H; Chan AHS; Huang H
    Accid Anal Prev; 2019 Oct; 131():316-326. PubMed ID: 31352193
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Risk drivers pose to themselves and other drivers by violating traffic rules.
    Penmetsa P; Pulugurtha SS
    Traffic Inj Prev; 2017 Jan; 18(1):63-69. PubMed ID: 27257740
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applying latent class analysis to investigate rural highway single-vehicle fatal crashes in China.
    Chen Y; Luo R; Yang H; King M; Shi Q
    Accid Anal Prev; 2020 Dec; 148():105840. PubMed ID: 33166878
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differences in traffic violations and at-fault crashes between license suspension and revocation.
    Kim KS; Myeong MH; Kweon YJ
    Accid Anal Prev; 2011 May; 43(3):755-61. PubMed ID: 21376863
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Can the effectiveness of driver education be sustained? Effects of driving breaks on novice drivers' traffic violations.
    Wang T; Mu W; Cui N
    Accid Anal Prev; 2021 May; 154():106083. PubMed ID: 33773196
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Restricted driver licensing for medical impairments: does it work?
    Marshall SC; Spasoff R; Nair R; van Walraven C
    CMAJ; 2002 Oct; 167(7):747-51. PubMed ID: 12389835
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Vision screening of older drivers for preventing road traffic injuries and fatalities.
    Desapriya E; Harjee R; Brubacher J; Chan H; Hewapathirane DS; Subzwari S; Pike I
    Cochrane Database Syst Rev; 2014 Feb; 2014(2):CD006252. PubMed ID: 24563119
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interaction between socio-demographic characteristics: traffic rule violations and traffic crash history for young drivers.
    Alver Y; Demirel MC; Mutlu MM
    Accid Anal Prev; 2014 Nov; 72():95-104. PubMed ID: 25019690
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Traffic violations in Guangdong Province of China: speeding and drunk driving.
    Zhang G; Yau KK; Gong X
    Accid Anal Prev; 2014 Mar; 64():30-40. PubMed ID: 24316505
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Temporal-spatial evolution analysis of severe traffic violations using three functional forms of models considering the diurnal variation of meteorology.
    Wang C; He J; Yan X; Zhang C; Chen Y; Ye Y
    Accid Anal Prev; 2022 Sep; 174():106731. PubMed ID: 35696853
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Traffic violation analysis using time series, clustering and panel zero-truncated one-inflated mixed model.
    Rezaei Ghahroodi Z; Eftekhari Mahabadi S; Bourbour S; Safarkhanloo H; Zeynali S
    Int J Inj Contr Saf Promot; 2022 Dec; 29(4):429-449. PubMed ID: 35856440
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Examining the associations between urban bus drivers' rule violations and crash frequency using observational data.
    Zhu T; Qin D; Jia W
    Accid Anal Prev; 2023 Jul; 187():107074. PubMed ID: 37086513
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Healthy elderly drivers are more likely to commit errors or lapses than violations. Survey of 904 volunteers].
    Assailly JP; Bonin-Guillaume S; Mohr A; Parola A; Grandjean R; Frances YM
    Presse Med; 2006 Jun; 35(6 Pt 1):941-7. PubMed ID: 16783251
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.