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 *

131 related articles for article (PubMed ID: 19163876)

  • 1. Predicting breast cancer survivability using fuzzy decision trees for personalized healthcare.
    Khan MU; Choi JP; Shin H; Kim M
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5148-51. PubMed ID: 19163876
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An approach for generating fuzzy rules from decision trees.
    Razavi AR; Nyström M; Stachowicz MS; Gill H; Ahlfeldt H; Shahsavar N
    Stud Health Technol Inform; 2006; 124():581-6. PubMed ID: 17108580
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support.
    Chen T; Shang C; Su P; Keravnou-Papailiou E; Zhao Y; Antoniou G; Shen Q
    Artif Intell Med; 2021 Jan; 111():101986. PubMed ID: 33461686
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Cardiovascular Dysautonomias Diagnosis Using Crisp and Fuzzy Decision Tree: A Comparative Study.
    Kadi I; Idri A
    Stud Health Technol Inform; 2016; 223():1-8. PubMed ID: 27139378
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A fuzzy logic based-method for prognostic decision making in breast and prostate cancers.
    Seker H; Odetayo MO; Petrovic D; Naguib RN
    IEEE Trans Inf Technol Biomed; 2003 Jun; 7(2):114-22. PubMed ID: 12834167
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-objective evolutionary algorithms for fuzzy classification in survival prediction.
    Jiménez F; Sánchez G; Juárez JM
    Artif Intell Med; 2014 Mar; 60(3):197-219. PubMed ID: 24525210
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting the continuous values of breast cancer relapse time by type-2 fuzzy logic system.
    Mahmoodian H
    Australas Phys Eng Sci Med; 2012 Jun; 35(2):193-204. PubMed ID: 22733123
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fuzzy DEA-based classifier and its applications in healthcare management.
    Ji AB; Qiao Y; Liu C
    Health Care Manag Sci; 2019 Sep; 22(3):560-568. PubMed ID: 30847730
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning ensemble classifiers for diabetic retinopathy assessment.
    Saleh E; Błaszczyński J; Moreno A; Valls A; Romero-Aroca P; de la Riva-Fernández S; Słowiński R
    Artif Intell Med; 2018 Apr; 85():50-63. PubMed ID: 28993124
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neuro-fuzzy decision trees.
    Bhatt RB; Gopal M
    Int J Neural Syst; 2006 Feb; 16(1):63-78. PubMed ID: 16496439
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mathematical models in decision analysis.
    Tom E; Schulman KA
    Infect Control Hosp Epidemiol; 1997 Jan; 18(1):65-73. PubMed ID: 9013249
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a rule based prognostic tool for HER 2 positive breast cancer patients.
    Lisboa PJ; Etchells TA; Jarman IH; Aung MS; Chabaud S; Bachelot T; Perol D; Gargi T; Bourdès V; Bonnevay S; Négrier S
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5416-9. PubMed ID: 18003233
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A combined neural network and decision trees model for prognosis of breast cancer relapse.
    Jerez-Aragonés JM; Gómez-Ruiz JA; Ramos-Jiménez G; Muñoz-Pérez J; Alba-Conejo E
    Artif Intell Med; 2003 Jan; 27(1):45-63. PubMed ID: 12473391
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree.
    Exarchos TP; Tsipouras MG; Exarchos CP; Papaloukas C; Fotiadis DI; Michalis LK
    Artif Intell Med; 2007 Jul; 40(3):187-200. PubMed ID: 17543512
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comparative study of fuzzy classification methods on breast cancer data.
    Jain R; Abraham A
    Australas Phys Eng Sci Med; 2004 Dec; 27(4):213-8. PubMed ID: 15712589
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of river ecosystem models for Flemish watercourses: case studies in the Zwalm river basin.
    Goethals P; Dedecker A; Raes N; Adriaenssens V; Gabriels W; De Pauw N
    Meded Rijksuniv Gent Fak Landbouwkd Toegep Biol Wet; 2001; 66(1):71-86. PubMed ID: 15952431
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures.
    Tung WL; Quek C; Cheng P
    Neural Netw; 2004 May; 17(4):567-87. PubMed ID: 15109685
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data.
    Wang KJ; Makond B; Wang KM
    BMC Med Inform Decis Mak; 2013 Nov; 13():124. PubMed ID: 24207108
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Decision support system for triage management: A hybrid approach using rule-based reasoning and fuzzy logic.
    Dehghani Soufi M; Samad-Soltani T; Shams Vahdati S; Rezaei-Hachesu P
    Int J Med Inform; 2018 Jun; 114():35-44. PubMed ID: 29673601
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: statistical, neural network and fuzzy approaches.
    Seker H; Odetayo MO; Petrovic D; Naguib RN; Bartoli C; Alasio L; Lakshmi MS; Sherbet GV
    Anticancer Res; 2002; 22(1A):433-8. PubMed ID: 12017328
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.