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 *

831 related articles for article (PubMed ID: 18275446)

  • 21. Emergency department visits in Wisconsin 1998-2002: trends in usage and accuracy of reported data.
    Svenson JE
    WMJ; 2005 Nov; 104(8):56-8. PubMed ID: 16425923
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The effect of in-room registration on emergency department length of stay.
    Gorelick MH; Yen K; Yun HJ
    Ann Emerg Med; 2005 Feb; 45(2):128-33. PubMed ID: 15671967
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Are EMS call volume predictions based on demand pattern analysis accurate?
    Brown LH; Lerner EB; Larmon B; LeGassick T; Taigman M
    Prehosp Emerg Care; 2007; 11(2):199-203. PubMed ID: 17454807
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Real-time demand forecasting in the emergency department.
    Jones SS
    AMIA Annu Symp Proc; 2007 Oct; ():997-8. PubMed ID: 18694097
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A comparative study of autoregressive neural network hybrids.
    Taskaya-Temizel T; Casey MC
    Neural Netw; 2005; 18(5-6):781-9. PubMed ID: 16085389
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska.
    Araz OM; Bentley D; Muelleman RL
    Am J Emerg Med; 2014 Sep; 32(9):1016-23. PubMed ID: 25037278
    [TBL] [Abstract][Full Text] [Related]  

  • 27. From model to forecasting: a multicenter study in emergency departments.
    Wargon M; Casalino E; Guidet B
    Acad Emerg Med; 2010 Sep; 17(9):970-8. PubMed ID: 20836778
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Modern methods improve hospital forecasting.
    Sterk WE; Shryock EG
    Healthc Financ Manage; 1987 Mar; 41(3):96-8. PubMed ID: 10280837
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A model for statistical forecasting of menu item demand.
    Wood SD
    J Am Diet Assoc; 1977 Mar; 70(3):254-9. PubMed ID: 839033
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An independent evaluation of four quantitative emergency department crowding scales.
    Jones SS; Allen TL; Flottemesch TJ; Welch SJ
    Acad Emerg Med; 2006 Nov; 13(11):1204-11. PubMed ID: 16902050
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The influence of improved air quality on mortality risks in Erfurt, Germany.
    Peters A; Breitner S; Cyrys J; Stölzel M; Pitz M; Wölke G; Heinrich J; Kreyling W; Küchenhoff H; Wichmann HE
    Res Rep Health Eff Inst; 2009 Feb; (137):5-77; discussion 79-90. PubMed ID: 19554968
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Forecasting daily counts of patient presentations in Australian emergency departments using statistical models with time-varying predictors.
    Duwalage KI; Burkett E; White G; Wong A; Thompson MH
    Emerg Med Australas; 2020 Aug; 32(4):618-625. PubMed ID: 32067361
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach.
    Tuominen J; Lomio F; Oksala N; Palomäki A; Peltonen J; Huttunen H; Roine A
    BMC Med Inform Decis Mak; 2022 May; 22(1):134. PubMed ID: 35581648
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis.
    Bergs J; Heerinckx P; Verelst S
    Int Emerg Nurs; 2014 Apr; 22(2):112-5. PubMed ID: 24055373
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prediction of ozone concentrations in Oporto city with statistical approaches.
    Sousa SI; Martins FG; Pereira MC; Alvim-Ferraz MC
    Chemosphere; 2006 Aug; 64(7):1141-9. PubMed ID: 16405949
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Forecasting age-specific breast cancer mortality using functional data models.
    Erbas B; Hyndman RJ; Gertig DM
    Stat Med; 2007 Jan; 26(2):458-70. PubMed ID: 16217849
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Forecasting the number of AIDS cases: an analysis of two techniques.
    Hellinger FJ
    Inquiry; 1990; 27(3):212-24. PubMed ID: 2145222
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Establishing and applying of autoregressive integrated moving average model to predict the incidence rate of dysentery in Shanghai].
    Li J; Wu HY; Li YT; Jin HM; Gu BK; Yuan ZA
    Zhonghua Yu Fang Yi Xue Za Zhi; 2010 Jan; 44(1):48-53. PubMed ID: 20388364
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Preplanning critical for freestanding ED.
    ED Manag; 2007 Oct; 19(10):114-6. PubMed ID: 17983027
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Advanced statistics: developing a formal model of emergency department census and defining operational efficiency.
    Flottemesch TJ; Gordon BD; Jones SS
    Acad Emerg Med; 2007 Sep; 14(9):799-809. PubMed ID: 17726126
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 42.