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 *

117 related articles for article (PubMed ID: 34494086)

  • 1. Feature selection for support vector regression using a genetic algorithm.
    McKearnan SB; Vock DM; Marai GE; Canahuate G; Fuller CD; Wolfson J
    Biostatistics; 2023 Apr; 24(2):295-308. PubMed ID: 34494086
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
    Zhang Y; Deng Q; Liang W; Zou X
    Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression.
    Goli S; Mahjub H; Faradmal J; Mashayekhi H; Soltanian AR
    Comput Math Methods Med; 2016; 2016():2157984. PubMed ID: 27882074
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robust feature selection to predict tumor treatment outcome.
    Mi H; Petitjean C; Dubray B; Vera P; Ruan S
    Artif Intell Med; 2015 Jul; 64(3):195-204. PubMed ID: 26303106
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of mutual information, genetic algorithm and SVR for feature selection in QSAR regression.
    Fang J; Tai D
    Curr Drug Discov Technol; 2011 Jun; 8(2):107-11. PubMed ID: 21513488
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
    Kamkar I; Gupta SK; Phung D; Venkatesh S
    J Biomed Inform; 2015 Feb; 53():277-90. PubMed ID: 25500636
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of support vector regression to genome-assisted prediction of quantitative traits.
    Long N; Gianola D; Rosa GJ; Weigel KA
    Theor Appl Genet; 2011 Nov; 123(7):1065-74. PubMed ID: 21739137
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].
    Xie Z; Jin J; Liu D; Lu S; Yu H; Han D; Sun W; Huang M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):345-352. PubMed ID: 38813626
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique.
    Pasupa K; Rathasamuth W; Tongsima S
    BMC Bioinformatics; 2020 May; 21(1):216. PubMed ID: 32456608
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of feature selection and regression models for chlorophyll-a prediction in a shallow lake.
    Li X; Sha J; Wang ZL
    Environ Sci Pollut Res Int; 2018 Jul; 25(20):19488-19498. PubMed ID: 29730758
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hybrid model for precise hepatitis-C classification using improved random forest and SVM method.
    Lilhore UK; Manoharan P; Sandhu JK; Simaiya S; Dalal S; Baqasah AM; Alsafyani M; Alroobaea R; Keshta I; Raahemifar K
    Sci Rep; 2023 Aug; 13(1):12473. PubMed ID: 37528148
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
    Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
    Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms.
    Chong J; Tjurin P; Niemelä M; Jämsä T; Farrahi V
    Gait Posture; 2021 Sep; 89():45-53. PubMed ID: 34225240
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Precise prediction of multiple anticancer drug efficacy using multi target regression and support vector regression analysis.
    Brindha GR; Rishiikeshwer BS; Santhi B; Nakendraprasath K; Manikandan R; Gandomi AH
    Comput Methods Programs Biomed; 2022 Sep; 224():107027. PubMed ID: 35914385
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Study on parameter optimization for support vector regression in solving the inverse ECG problem.
    Jiang M; Jiang S; Zhu L; Wang Y; Huang W; Zhang H
    Comput Math Methods Med; 2013; 2013():158056. PubMed ID: 23983808
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM.
    He Y; Zhang W; Ma Y; Li J; Ma B
    Molecules; 2022 Jun; 27(13):. PubMed ID: 35807337
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genomic-enabled prediction with classification algorithms.
    Ornella L; Pérez P; Tapia E; González-Camacho JM; Burgueño J; Zhang X; Singh S; Vicente FS; Bonnett D; Dreisigacker S; Singh R; Long N; Crossa J
    Heredity (Edinb); 2014 Jun; 112(6):616-26. PubMed ID: 24424163
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An improved support vector machine-based diabetic readmission prediction.
    Cui S; Wang D; Wang Y; Yu PW; Jin Y
    Comput Methods Programs Biomed; 2018 Nov; 166():123-135. PubMed ID: 30415712
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor.
    Liu L; Jiao Y; Li X; Ouyang Y; Shi D
    Comput Methods Programs Biomed; 2020 Nov; 196():105624. PubMed ID: 32623348
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing Methods of Feature Extraction of Brain Activities for Octave Illusion Classification Using Machine Learning.
    Pilyugina N; Tsukahara A; Tanaka K
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640727
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.