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 *

115 related articles for article (PubMed ID: 12957778)

  • 1. Integrating classification trees with local logistic regression in Intensive Care prognosis.
    Abu-Hanna A; de Keizer N
    Artif Intell Med; 2003; 29(1-2):5-23. PubMed ID: 12957778
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Statistical process control for monitoring standardized mortality ratios of a classification tree model.
    Minne L; Eslami S; de Keizer N; de Jonge E; de Rooij SE; Abu-Hanna A
    Methods Inf Med; 2012; 51(4):353-8. PubMed ID: 22773038
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
    Awad A; Bader-El-Den M; McNicholas J; Briggs J
    Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial intelligence forecasting mortality at an intensive care unit and comparison to a logistic regression system.
    Nistal-Nuño B
    Einstein (Sao Paulo); 2021; 19():eAO6283. PubMed ID: 34644744
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
    [No Abstract]   [Full Text] [Related]  

  • 6. Discovery and inclusion of SOFA score episodes in mortality prediction.
    Toma T; Abu-Hanna A; Bosman RJ
    J Biomed Inform; 2007 Dec; 40(6):649-60. PubMed ID: 17485242
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The Pancreatitis Outcome Prediction (POP) Score: a new prognostic index for patients with severe acute pancreatitis.
    Harrison DA; D'Amico G; Singer M
    Crit Care Med; 2007 Jul; 35(7):1703-8. PubMed ID: 17522578
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Subgroup mortality probability models: are they necessary for specialized intensive care units?
    Nathanson BH; Higgins TL; Kramer AA; Copes WS; Stark M; Teres D
    Crit Care Med; 2009 Aug; 37(8):2375-86. PubMed ID: 19531946
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Outcome of older patients with severe pneumonia predicted by recursive partitioning.
    El-Solh AA; Sikka P; Ramadan F
    J Am Geriatr Soc; 2001 Dec; 49(12):1614-21. PubMed ID: 11843993
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T; Liu J
    Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sepsis severity score: an internationally derived scoring system from the surviving sepsis campaign database*.
    Osborn TM; Phillips G; Lemeshow S; Townsend S; Schorr CA; Levy MM; Dellinger RP
    Crit Care Med; 2014 Sep; 42(9):1969-76. PubMed ID: 24919160
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Daily assessment of severity of illness and mortality prediction for individual patients.
    Rué M; Quintana S; Alvarez M; Artigas A
    Crit Care Med; 2001 Jan; 29(1):45-50. PubMed ID: 11176159
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Long-stay patients in the pediatric intensive care unit.
    Marcin JP; Slonim AD; Pollack MM; Ruttimann UE
    Crit Care Med; 2001 Mar; 29(3):652-7. PubMed ID: 11373438
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting 30-day Hospital Readmission with Publicly Available Administrative Database. A Conditional Logistic Regression Modeling Approach.
    Zhu K; Lou Z; Zhou J; Ballester N; Kong N; Parikh P
    Methods Inf Med; 2015; 54(6):560-7. PubMed ID: 26548400
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new survival status prediction system for severe trauma patients based on a multiple classifier system.
    Sanz J; Paternain D; Galar M; Fernandez J; Reyero D; Belzunegui T
    Comput Methods Programs Biomed; 2017 Apr; 142():1-8. PubMed ID: 28325437
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
    Kamkar I; Gupta SK; Phung D; Venkatesh S
    J Biomed Inform; 2015 Feb; 53():277-90. PubMed ID: 25500636
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression.
    Doig GS; Inman KJ; Sibbald WJ; Martin CM; Robertson JM
    Proc Annu Symp Comput Appl Med Care; 1993; ():361-5. PubMed ID: 8130495
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of outcome from intensive care: a prospective cohort study comparing Acute Physiology and Chronic Health Evaluation II and III prognostic systems in a United Kingdom intensive care unit.
    Beck DH; Taylor BL; Millar B; Smith GB
    Crit Care Med; 1997 Jan; 25(1):9-15. PubMed ID: 8989170
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparison of the performance of a model based on administrative data and a model based on clinical data: effect of severity of illness on standardized mortality ratios of intensive care units.
    Brinkman S; Abu-Hanna A; van der Veen A; de Jonge E; de Keizer NF
    Crit Care Med; 2012 Feb; 40(2):373-8. PubMed ID: 21983367
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Impact of different customization strategies in the performance of a general severity score.
    Moreno R; Apolone G
    Crit Care Med; 1997 Dec; 25(12):2001-8. PubMed ID: 9403750
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.