109 related articles for article (PubMed ID: 22733123)
1. 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]
2. Using fuzzy association rule mining in cancer classification.
Mahmoodian H; Hamiruce Marhaban M; Abdulrahim R; Rosli R; Saripan I
Australas Phys Eng Sci Med; 2011 Apr; 34(1):41-54. PubMed ID: 21327594
[TBL] [Abstract][Full Text] [Related]
3. A quantifier-based fuzzy classification system for breast cancer patients.
Soria D; Garibaldi JM; Green AR; Powe DG; Nolan CC; Lemetre C; Ball GR; Ellis IO
Artif Intell Med; 2013 Jul; 58(3):175-84. PubMed ID: 23791088
[TBL] [Abstract][Full Text] [Related]
4. Biomedical application of fuzzy association rules for identifying breast cancer biomarkers.
Lopez FJ; Cuadros M; Cano C; Concha A; Blanco A
Med Biol Eng Comput; 2012 Sep; 50(9):981-90. PubMed ID: 22622817
[TBL] [Abstract][Full Text] [Related]
5. Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization.
Miranda GH; Felipe JC
Comput Biol Med; 2015 Sep; 64():334-46. PubMed ID: 25453323
[TBL] [Abstract][Full Text] [Related]
6. Using a genetic-fuzzy algorithm as a computer aided diagnosis tool on Saudi Arabian breast cancer database.
Alharbi A; Tchier F
Math Biosci; 2017 Apr; 286():39-48. PubMed ID: 28185926
[TBL] [Abstract][Full Text] [Related]
7. Stable Gene Signature Selection for Prediction of Breast Cancer Recurrence Using Joint Mutual Information.
Sehhati M; Mehridehnavi A; Rabbani H; Pourhossein M
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(6):1440-8. PubMed ID: 26671813
[TBL] [Abstract][Full Text] [Related]
8. A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.
Papageorgiou EI; Jayashree Subramanian ; Karmegam A; Papandrianos N
Comput Methods Programs Biomed; 2015 Nov; 122(2):123-35. PubMed ID: 26220142
[TBL] [Abstract][Full Text] [Related]
9. Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.
Kempowsky-Hamon T; Valle C; Lacroix-Triki M; Hedjazi L; Trouilh L; Lamarre S; Labourdette D; Roger L; Mhamdi L; Dalenc F; Filleron T; Favre G; François JM; Le Lann MV; Anton-Leberre V
BMC Med Genomics; 2015 Feb; 8():3. PubMed ID: 25888889
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Estrogen-dependent prognostic significance of cyclooxygenase-2 expression in early-stage invasive breast cancers treated with breast-conserving surgery and radiation.
Haffty BG; Yang Q; Moran MS; Tan AR; Reiss M
Int J Radiat Oncol Biol Phys; 2008 Jul; 71(4):1006-13. PubMed ID: 18262731
[TBL] [Abstract][Full Text] [Related]
12. Exploratory consensus of hierarchical clusterings for melanoma and breast cancer.
Mahata P
IEEE/ACM Trans Comput Biol Bioinform; 2010; 7(1):138-52. PubMed ID: 20150676
[TBL] [Abstract][Full Text] [Related]
13. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
Pal NR; Aguan K; Sharma A; Amari S
BMC Bioinformatics; 2007 Jan; 8():5. PubMed ID: 17207284
[TBL] [Abstract][Full Text] [Related]
14. A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.
Sahan S; Polat K; Kodaz H; Güneş S
Comput Biol Med; 2007 Mar; 37(3):415-23. PubMed ID: 16904096
[TBL] [Abstract][Full Text] [Related]
15. An interpretable fuzzy rule-based classification methodology for medical diagnosis.
Gadaras I; Mikhailov L
Artif Intell Med; 2009 Sep; 47(1):25-41. PubMed ID: 19540096
[TBL] [Abstract][Full Text] [Related]
16. Biological subtypes of breast cancer: current concepts and implications for recurrence patterns.
Cadoo KA; Fornier MN; Morris PG
Q J Nucl Med Mol Imaging; 2013 Dec; 57(4):312-21. PubMed ID: 24322788
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Evolutionary fuzzy modeling human diagnostic decisions.
Peña-Reyes CA
Ann N Y Acad Sci; 2004 May; 1020():190-211. PubMed ID: 15208193
[TBL] [Abstract][Full Text] [Related]
19. Simplified interval type-2 fuzzy neural networks.
Lin YY; Liao SH; Chang JY; Lin CT
IEEE Trans Neural Netw Learn Syst; 2014 May; 25(5):959-69. PubMed ID: 24808041
[TBL] [Abstract][Full Text] [Related]
20. Breast-cancer identification using HMM-fuzzy approach.
Hassan MR; Hossain MM; Begg RK; Ramamohanarao K; Morsi Y
Comput Biol Med; 2010 Mar; 40(3):240-51. PubMed ID: 20152962
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
