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 *

84 related articles for article (PubMed ID: 3260324)

  • 1. Bayes theorem and conditional dependence of symptoms: different models applied to data of upper gastrointestinal bleeding.
    Ohmann C; Yang Q; Künneke M; Stöltzing H; Thon K; Lorenz W
    Methods Inf Med; 1988 May; 27(2):73-83. PubMed ID: 3260324
    [No Abstract]   [Full Text] [Related]  

  • 2. Selection of variables using 'independence Bayes' in computer-aided diagnosis of upper gastrointestinal bleeding.
    Ohmann C; Künneke M; Zaczyk R; Thon K; Lorenz W
    Stat Med; 1986; 5(5):503-15. PubMed ID: 3538264
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Upper gastrointestinal tract bleeding: assessing the diagnostic contributions of the history and clinical findings.
    Ohmann C; Thon K; Stöltzing H; Yang Q; Lorenz W
    Med Decis Making; 1986; 6(4):208-15. PubMed ID: 3534503
    [TBL] [Abstract][Full Text] [Related]  

  • 4. When to stop the search for an elusive source of gastrointestinal bleeding.
    Sonnenberg A
    Endoscopy; 2011 Jan; 43(1):4-7. PubMed ID: 21038292
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [The physician and the computer. 17. Applications in decision-making].
    Kasal P; Sikut M
    Cesk Pediatr; 1988 May; 43(5):354-7. PubMed ID: 3401958
    [No Abstract]   [Full Text] [Related]  

  • 6. Issues in the application of Bayes' Theorem to child abuse decision making.
    Proeve M
    Child Maltreat; 2009 Feb; 14(1):114-20. PubMed ID: 18495947
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Computer-assisted medical decision making in x-ray diagnosis. 1. Comparative studies on the application of Bayes theorem and discrimination analysis in mammography].
    Schüler W; Kunzelmann F
    Radiol Diagn (Berl); 1989; 30(2):197-205. PubMed ID: 2740485
    [No Abstract]   [Full Text] [Related]  

  • 8. Prediction of outcome in acute lower gastrointestinal hemorrhage: role of artificial neural network.
    Das A; Wong RC
    Eur J Gastroenterol Hepatol; 2007 Dec; 19(12):1064-9. PubMed ID: 17998830
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Test advisor: a pen-based computer program for Bayesian decision-making in the clinical setting.
    Ebell MH
    Proc Annu Symp Comput Appl Med Care; 1994; ():1026. PubMed ID: 7949863
    [No Abstract]   [Full Text] [Related]  

  • 10. [Computer-assisted analysis of the prognosis in patients with upper gastrointestinal hemorrhage].
    Garrigues Gil V; Ponce García J; Martínez Salazar F; Pertejo Pastor V; Sala Felis T; Berenguer Lapuerta J
    Rev Esp Enferm Dig; 1990 Nov; 78(5):272-7. PubMed ID: 2090169
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian method applied to decision making in neurology--methodological considerations.
    Salamon R; Bernadet M; Samson M; Derouesne C; Gremy F
    Methods Inf Med; 1976 Jul; 15(3):174-9. PubMed ID: 785160
    [No Abstract]   [Full Text] [Related]  

  • 12. Introduction to clinical decision making.
    Patton DD
    Semin Nucl Med; 1978 Oct; 8(4):273-82. PubMed ID: 754285
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Everyday diagnostics--a critique of the Bayesian model.
    Jonson NE
    Med Hypotheses; 1991 Apr; 34(4):289-95. PubMed ID: 1865835
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The theorem of Bayes as a clinical research tool.
    Edwards FH; Graeber GM
    Surg Gynecol Obstet; 1987 Aug; 165(2):127-9. PubMed ID: 3299820
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units.
    Schurink CA; Lucas PJ; Hoepelman IM; Bonten MJ
    Lancet Infect Dis; 2005 May; 5(5):305-12. PubMed ID: 15854886
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enter the reverend: introduction to and application of Bayes' theorem in clinical ophthalmology.
    Thomas R; Mengersen K; Parikh RS; Walland MJ; Muliyil J
    Clin Exp Ophthalmol; 2011 Dec; 39(9):865-70. PubMed ID: 21575118
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Serum IgE and eosinophil count in allergic rhinitis--analysis using a modified Bayes' theorem.
    Demirjian M; Rumbyrt JS; Gowda VC; Klaustermeyer WB
    Allergol Immunopathol (Madr); 2012; 40(5):281-7. PubMed ID: 21978887
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Decision support systems in dentistry.
    White SC
    Dentomaxillofac Radiol; 1999 Jan; 28(1):59-60. PubMed ID: 10202484
    [No Abstract]   [Full Text] [Related]  

  • 19. Site-specific updating and aggregation of Bayesian belief network models for multiple experts.
    Stiber NA; Small MJ; Pantazidou M
    Risk Anal; 2004 Dec; 24(6):1529-38. PubMed ID: 15660609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interactive microcomputer-based graphical tools for physician decision support. Aids to test selection and interpretation and use of Bayes' theorem.
    Greenes RA
    Med Decis Making; 1983; 3(1):15-21. PubMed ID: 6350789
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.