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 *

185 related articles for article (PubMed ID: 36017156)

  • 1. Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques.
    Aamir S; Rahim A; Aamir Z; Abbasi SF; Khan MS; Alhaisoni M; Khan MA; Khan K; Ahmad J
    Comput Math Methods Med; 2022; 2022():5869529. PubMed ID: 36017156
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A structured combination of ensemble classifier and filter-based feature selection to improve breast cancer diagnosis.
    Zheng D; Tang P; Lu D; Han L; Saberi S
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14519-14534. PubMed ID: 37567985
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.
    Elgin Christo VR; Khanna Nehemiah H; Minu B; Kannan A
    Comput Math Methods Med; 2019; 2019():7398307. PubMed ID: 31662787
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning models in breast cancer survival prediction.
    Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
    Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reviewing ensemble classification methods in breast cancer.
    Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
    Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep feature-based automatic classification of mammograms.
    Arora R; Rai PK; Raman B
    Med Biol Eng Comput; 2020 Jun; 58(6):1199-1211. PubMed ID: 32200453
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.
    Murugesan S; Bhuvaneswaran RS; Khanna Nehemiah H; Keerthana Sankari S; Nancy Jane Y
    Comput Math Methods Med; 2021; 2021():6662420. PubMed ID: 34055041
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions.
    Gallego-Ortiz C; Martel AL
    Med Image Anal; 2019 Jan; 51():116-124. PubMed ID: 30412826
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
    Al-Masni MA; Al-Antari MA; Park JM; Gi G; Kim TY; Rivera P; Valarezo E; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Apr; 157():85-94. PubMed ID: 29477437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine learning in medicine: a practical introduction.
    Sidey-Gibbons JAM; Sidey-Gibbons CJ
    BMC Med Res Methodol; 2019 Mar; 19(1):64. PubMed ID: 30890124
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Support vector machine based diagnostic system for breast cancer using swarm intelligence.
    Chen HL; Yang B; Wang G; Wang SJ; Liu J; Liu DY
    J Med Syst; 2012 Aug; 36(4):2505-19. PubMed ID: 21537848
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis.
    Rasool A; Bunterngchit C; Tiejian L; Islam MR; Qu Q; Jiang Q
    Int J Environ Res Public Health; 2022 Mar; 19(6):. PubMed ID: 35328897
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnosis of Breast Cancer Using Computational Intelligence Models and IoT Applications.
    Alghamdi M; Maray M; Alazzam MB
    Comput Intell Neurosci; 2022; 2022():2143510. PubMed ID: 36275956
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Feature Importance Score-Based Functional Link Artificial Neural Networks for Breast Cancer Classification.
    Singh S; Jangir SK; Kumar M; Verma M; Kumar S; Walia TS; Kamal SMM
    Biomed Res Int; 2022; 2022():2696916. PubMed ID: 35411308
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tree-Based and Machine Learning Algorithm Analysis for Breast Cancer Classification.
    Bhardwaj A; Bhardwaj H; Sakalle A; Uddin Z; Sakalle M; Ibrahim W
    Comput Intell Neurosci; 2022; 2022():6715406. PubMed ID: 35845866
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier.
    Khandezamin Z; Naderan M; Rashti MJ
    J Biomed Inform; 2020 Nov; 111():103591. PubMed ID: 33039588
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An integrative machine learning framework for classifying SEER breast cancer.
    Manikandan P; Durga U; Ponnuraja C
    Sci Rep; 2023 Apr; 13(1):5362. PubMed ID: 37005484
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.
    Olisah CC; Smith L; Smith M
    Comput Methods Programs Biomed; 2022 Jun; 220():106773. PubMed ID: 35429810
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
    Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
    Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.