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 *

123 related articles for article (PubMed ID: 36833936)

  • 1. A Novel Bioinspired Algorithm for Mixed and Incomplete Breast Cancer Data Classification.
    González-Patiño D; Villuendas-Rey Y; Saldaña-Pérez M; Argüelles-Cruz AJ
    Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833936
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
    Ozcan I; Aydin H; Cetinkaya A
    Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction.
    Vijayasarveswari V; Andrew AM; Jusoh M; Sabapathy T; Raof RAA; Yasin MNM; Ahmad RB; Khatun S; Rahim HA
    PLoS One; 2020; 15(8):e0229367. PubMed ID: 32790672
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.
    Jebamony J; Jacob D
    Curr Med Imaging; 2020; 16(6):703-710. PubMed ID: 32723242
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
    Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
    BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of supervised machine learning algorithms for classification and prediction of type-2 diabetes disease status in Afar regional state, Northeastern Ethiopia 2021.
    Ebrahim OA; Derbew G
    Sci Rep; 2023 May; 13(1):7779. PubMed ID: 37179444
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On mining incomplete medical datasets: Ordering imputation and classification.
    Chen CW; Lin WC; Ke SW; Tsai CF; Hu YH
    Technol Health Care; 2015; 23(5):619-25. PubMed ID: 26410122
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.
    Aldhyani THH; Alshebami AS; Alzahrani MY
    J Healthc Eng; 2020; 2020():4984967. PubMed ID: 32211144
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.
    Mishra S; Shaw K; Mishra D; Patil S; Kotecha K; Kumar S; Bajaj S
    Front Public Health; 2022; 10():858282. PubMed ID: 35602150
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved Multiclassification of Schizophrenia Based on Xgboost and Information Fusion for Small Datasets.
    Zhu W; Shen S; Zhang Z
    Comput Math Methods Med; 2022; 2022():1581958. PubMed ID: 35903435
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Architectures and accuracy of artificial neural network for disease classification from omics data.
    Yu H; Samuels DC; Zhao YY; Guo Y
    BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer.
    Rajaguru H; S R SC
    Asian Pac J Cancer Prev; 2019 Dec; 20(12):3777-3781. PubMed ID: 31870121
    [TBL] [Abstract][Full Text] [Related]  

  • 13. GSEA-SDBE: A gene selection method for breast cancer classification based on GSEA and analyzing differences in performance metrics.
    Ai H
    PLoS One; 2022; 17(4):e0263171. PubMed ID: 35472078
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study.
    Alshammari MM; Almuhanna A; Alhiyafi J
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009746
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Naive Bayes-guided bat algorithm for feature selection.
    Taha AM; Mustapha A; Chen SD
    ScientificWorldJournal; 2013; 2013():325973. PubMed ID: 24396295
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of noise-reduction techniques to machine learning algorithms for breast cancer tumor identification.
    Ahuja A; Al-Zogbi L; Krieger A
    Comput Biol Med; 2021 Aug; 135():104576. PubMed ID: 34246158
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.
    Nahid AA; Kong Y
    Comput Math Methods Med; 2017; 2017():3781951. PubMed ID: 29463985
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels.
    Podolsky MD; Barchuk AA; Kuznetcov VI; Gusarova NF; Gaidukov VS; Tarakanov SA
    Asian Pac J Cancer Prev; 2016; 17(2):835-8. PubMed ID: 26925688
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving the Mann-Whitney statistical test for feature selection: an approach in breast cancer diagnosis on mammography.
    Pérez NP; Guevara López MA; Silva A; Ramos I
    Artif Intell Med; 2015 Jan; 63(1):19-31. PubMed ID: 25555756
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hubness weighted SVM ensemble for prediction of breast cancer subtypes.
    Raja Sree S; Kunthavai A
    Technol Health Care; 2022; 30(3):565-578. PubMed ID: 34397436
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.