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 *

310 related articles for article (PubMed ID: 26576199)

  • 1. Ensemble Merit Merge Feature Selection for Enhanced Multinomial Classification in Alzheimer's Dementia.
    Sivapriya TR; Kamal AR; Thangaiah PR
    Comput Math Methods Med; 2015; 2015():676129. PubMed ID: 26576199
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
    Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
    J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination.
    Sørensen L; Nielsen M;
    J Neurosci Methods; 2018 May; 302():66-74. PubMed ID: 29378218
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.
    Nanni L; Lumini A; Zaffonato N
    J Neurosci Methods; 2018 May; 302():42-46. PubMed ID: 29104000
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.
    Ota K; Oishi N; Ito K; Fukuyama H; ;
    J Neurosci Methods; 2015 Dec; 256():168-83. PubMed ID: 26318777
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.
    Tohka J; Moradi E; Huttunen H;
    Neuroinformatics; 2016 Jul; 14(3):279-96. PubMed ID: 26803769
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of Alzheimer's disease from FDG-PET images using favourite class ensembles.
    Cabral C; Silveira M;
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2477-80. PubMed ID: 24110229
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A hybrid data mining model for diagnosis of patients with clinical suspicion of dementia.
    Moreira LB; Namen AA
    Comput Methods Programs Biomed; 2018 Oct; 165():139-149. PubMed ID: 30337069
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Discrimination between Alzheimer's disease and mild cognitive impairment using SOM and PSO-SVM.
    Yang ST; Lee JD; Chang TC; Huang CH; Wang JJ; Hsu WC; Chan HL; Wai YY; Li KY
    Comput Math Methods Med; 2013; 2013():253670. PubMed ID: 23737859
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ontology driven decision support for the diagnosis of mild cognitive impairment.
    Zhang X; Hu B; Ma X; Moore P; Chen J
    Comput Methods Programs Biomed; 2014 Mar; 113(3):781-91. PubMed ID: 24468160
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability.
    Pereira T; Ferreira FL; Cardoso S; Silva D; de Mendonça A; Guerreiro M; Madeira SC;
    BMC Med Inform Decis Mak; 2018 Dec; 18(1):137. PubMed ID: 30567554
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of mild Alzheimer's disease through automated classification of structural MRI features.
    Diciotti S; Ginestroni A; Bessi V; Giannelli M; Tessa C; Bracco L; Mascalchi M; Toschi N
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():428-31. PubMed ID: 23365920
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning and Risk Score Classification of Mild Cognitive Impairment and Alzheimer's Disease.
    Nagaraj S; Duong TQ
    J Alzheimers Dis; 2021; 80(3):1079-1090. PubMed ID: 33646166
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Can-Evo-Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences.
    Ali S; Majid A
    J Biomed Inform; 2015 Apr; 54():256-69. PubMed ID: 25617669
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.
    Andrade de Oliveira A; Carthery-Goulart MT; Oliveira Júnior PP; Carrettiero DC; Sato JR
    J Alzheimers Dis; 2015; 43(1):201-12. PubMed ID: 25079801
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Role for Prior Knowledge in Statistical Classification of the Transition from Mild Cognitive Impairment to Alzheimer's Disease.
    Liu Z; Maiti T; Bender AR;
    J Alzheimers Dis; 2021; 83(4):1859-1875. PubMed ID: 34459391
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.
    Garcia-Chimeno Y; Garcia-Zapirain B; Gomez-Beldarrain M; Fernandez-Ruanova B; Garcia-Monco JC
    BMC Med Inform Decis Mak; 2017 Apr; 17(1):38. PubMed ID: 28407777
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A deeply supervised adaptable neural network for diagnosis and classification of Alzheimer's severity using multitask feature extraction.
    Ahmadi M; Javaheri D; Khajavi M; Danesh K; Hur J
    PLoS One; 2024; 19(3):e0297996. PubMed ID: 38530836
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
    Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ
    PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923
    [TBL] [Abstract][Full Text] [Related]  

  • 20. R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification.
    Bania RK; Halder A
    Artif Intell Med; 2021 Apr; 114():102049. PubMed ID: 33875164
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.