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 *

139 related articles for article (PubMed ID: 24860043)

  • 1. Rule extraction from support vector machines using ensemble learning approach: an application for diagnosis of diabetes.
    Han L; Luo S; Yu J; Pan L; Chen S
    IEEE J Biomed Health Inform; 2015 Mar; 19(2):728-34. PubMed ID: 24860043
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Intelligible support vector machines for diagnosis of diabetes mellitus.
    Barakat NH; Bradley AP; Barakat MN
    IEEE Trans Inf Technol Biomed; 2010 Jul; 14(4):1114-20. PubMed ID: 20071261
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A semi-supervised learning based method: Laplacian support vector machine used in diabetes disease diagnosis.
    Wu J; Diao YB; Li ML; Fang YP; Ma DC
    Interdiscip Sci; 2009 Jun; 1(2):151-5. PubMed ID: 20640829
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.
    Mansourypoor F; Asadi S
    Comput Biol Med; 2017 Dec; 91():337-352. PubMed ID: 29121541
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The diagnostics of diabetes mellitus based on ensemble modeling and hair/urine element level analysis.
    Chen H; Tan C; Lin Z; Wu T
    Comput Biol Med; 2014 Jul; 50():70-5. PubMed ID: 24835087
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnosis of urinary tract infection based on artificial intelligence methods.
    Ozkan IA; Koklu M; Sert IU
    Comput Methods Programs Biomed; 2018 Nov; 166():51-59. PubMed ID: 30415718
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm.
    Beloufa F; Chikh MA
    Comput Methods Programs Biomed; 2013 Oct; 112(1):92-103. PubMed ID: 23932385
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review.
    Fernandez-Aleman JL; Carrillo-de-Gea JM; Hosni M; Idri A; Garcia-Mateos G
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3956-3959. PubMed ID: 31946738
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computer-aided diagnosis of external and middle ear conditions: A machine learning approach.
    Viscaino M; Maass JC; Delano PH; Torrente M; Stott C; Auat Cheein F
    PLoS One; 2020; 15(3):e0229226. PubMed ID: 32163427
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Rule induction algorithm for brain glioma using support vector machine].
    Li G; Yang J; Wang J; Geng D
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Apr; 23(2):410-2. PubMed ID: 16706378
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Rule extraction from biased random forest and fuzzy support vector machine for early diagnosis of diabetes.
    Hao J; Luo S; Pan L
    Sci Rep; 2022 Jun; 12(1):9858. PubMed ID: 35701587
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Rule induction and instance-based learning applied in medical diagnosis.
    Dzeroski S; Lavrac N
    Technol Health Care; 1996 Aug; 4(2):203-21. PubMed ID: 8885098
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
    Chen Z; Li J; Wei L
    Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Implementation and application of a digital cytopathological lung cancer diagnosing system].
    Wang D; Ye YK; Zhang Y; Gao Y; Yang YB; Zhou Y; Guo AY; Zhao B; Zhu L; Chen SF; Shu ZQ; Qian XQ
    Zhonghua Wai Ke Za Zhi; 2007 Oct; 45(20):1417-9. PubMed ID: 18241598
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Novel solutions for an old disease: diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks.
    Hsieh CH; Lu RH; Lee NH; Chiu WT; Hsu MH; Li YC
    Surgery; 2011 Jan; 149(1):87-93. PubMed ID: 20466403
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feature selection using binary particle swarm optimization and support vector machines for medical diagnosis.
    Daliri MR
    Biomed Tech (Berl); 2012 Oct; 57(5):395-402. PubMed ID: 25854666
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Reliable confidence measures for medical diagnosis with evolutionary algorithms.
    Lambrou A; Papadopoulos H; Gammerman A
    IEEE Trans Inf Technol Biomed; 2011 Jan; 15(1):93-9. PubMed ID: 21062682
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Toward better understanding of protein secondary structure: extracting prediction rules.
    Nguyen MN; Zurada JM; Rajapakse JC
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):858-64. PubMed ID: 21393657
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.