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 *

140 related articles for article (PubMed ID: 28125006)

  • 1. Support Vector Machine Classification of Drunk Driving Behaviour.
    Chen H; Chen L
    Int J Environ Res Public Health; 2017 Jan; 14(1):. PubMed ID: 28125006
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Drunk driving detection based on classification of multivariate time series.
    Li Z; Jin X; Zhao X
    J Safety Res; 2015 Sep; 54():61-4. PubMed ID: 26403903
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of Fatigued and Drunk Driving Based on Decision Tree Methods: A Simulator Study.
    Yao Y; Zhao X; Du H; Zhang Y; Zhang G; Rong J
    Int J Environ Res Public Health; 2019 May; 16(11):. PubMed ID: 31159221
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Precise Drunk Driving Detection Using Weighted Kernel Based on Electrocardiogram.
    Wu CK; Tsang KF; Chi HR; Hung FH
    Sensors (Basel); 2016 May; 16(5):. PubMed ID: 27171090
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data.
    Chihara T; Kobayashi F; Sakamoto J
    Appl Ergon; 2020 Nov; 89():103201. PubMed ID: 32658775
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier.
    Li G; Chung WY
    Sensors (Basel); 2013 Dec; 13(12):16494-511. PubMed ID: 24316564
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Intelligent Online Drunk Driving Detection System Based on Multi-Sensor Fusion Technology.
    Liu J; Luo Y; Ge L; Zeng W; Rao Z; Xiao X
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366163
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Alcohol-related driving in China: Countermeasure implications of research conducted in two cities.
    Jia K; Fleiter J; King M; Sheehan M; Ma W; Lei J; Zhang J
    Accid Anal Prev; 2016 Oct; 95(Pt B):343-349. PubMed ID: 26850753
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Driving behavior recognition using EEG data from a simulated car-following experiment.
    Yang L; Ma R; Zhang HM; Guan W; Jiang S
    Accid Anal Prev; 2018 Jul; 116():30-40. PubMed ID: 29174606
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Epileptic seizure detection in EEG signal with GModPCA and support vector machine.
    Jaiswal AK; Banka H
    Biomed Mater Eng; 2017; 28(2):141-157. PubMed ID: 28372267
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification.
    Silva I; Eugenio Naranjo J
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32197384
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Investigating driver injury severity patterns in rollover crashes using support vector machine models.
    Chen C; Zhang G; Qian Z; Tarefder RA; Tian Z
    Accid Anal Prev; 2016 May; 90():128-39. PubMed ID: 26938584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier.
    Chang Y; Lim J; Kim N; Seo JB; Lynch DA
    Med Phys; 2013 May; 40(5):051912. PubMed ID: 23635282
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts.
    Schneider HW; Raiol T; Brigido MM; Walter MEMT; Stadler PF
    BMC Genomics; 2017 Oct; 18(1):804. PubMed ID: 29047334
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving.
    Zhang Y; Kaber D
    Hum Factors; 2016 Sep; 58(6):944-58. PubMed ID: 27164942
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The use of machine learning improves the assessment of drug-induced driving behaviour.
    van der Wall HEC; Doll RJ; van Westen GJP; Koopmans I; Zuiker RG; Burggraaf J; Cohen AF
    Accid Anal Prev; 2020 Dec; 148():105822. PubMed ID: 33125924
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Challenges associated with drunk driving measurement: combining police and self-reported data to estimate an accurate prevalence in Brazil.
    Sousa T; Lunnen JC; Gonçalves V; Schmitz A; Pasa G; Bastos T; Sripad P; Chandran A; Pechansky F
    Injury; 2013 Dec; 44 Suppl 4():S11-6. PubMed ID: 24377772
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Epileptic seizure detection in EEG signal using machine learning techniques.
    Jaiswal AK; Banka H
    Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.
    Caldero-Bardaji P; Longfei X; Jaschke S; Reermann J; Mideska KG; Schmidt G; Deuschl G; Muthuraman M
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():833-836. PubMed ID: 28268453
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Effects of acute alcohol consumption on measures of simulated driving: A systematic review and meta-analysis.
    Irwin C; Iudakhina E; Desbrow B; McCartney D
    Accid Anal Prev; 2017 May; 102():248-266. PubMed ID: 28343124
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.