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 *

112 related articles for article (PubMed ID: 37591162)

  • 1. An optimized machine learning method for predicting wogonin therapy for the treatment of pulmonary hypertension.
    Li Y; Fu Y; Liu Y; Zhao D; Liu L; Bourouis S; Algarni AD; Zhong C; Wu P
    Comput Biol Med; 2023 Sep; 164():107293. PubMed ID: 37591162
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of Pulmonary Hypertension Animal Models Using a New Evolutionary Machine Learning Framework Based on Blood Routine Indicators.
    Hu J; Lv S; Zhou T; Chen H; Xiao L; Huang X; Wang L; Wu P
    J Bionic Eng; 2023; 20(2):762-781. PubMed ID: 36466726
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
    Shi B; Zhou T; Lv S; Wang M; Chen S; Heidari AA; Huang X; Chen H; Wang L; Wu P
    Comput Biol Med; 2022 Jul; 146():105529. PubMed ID: 35594682
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition.
    Yang X; Zhao D; Yu F; Heidari AA; Bano Y; Ibrohimov A; Liu Y; Cai Z; Chen H; Chen X
    Comput Biol Med; 2022 Aug; 147():105752. PubMed ID: 35803079
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An evolutionary machine learning for multiple myeloma using Runge Kutta Optimizer from multi characteristic indexes.
    Ji Y; Shi B; Li Y
    Comput Biol Med; 2022 Nov; 150():106189. PubMed ID: 37859284
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm.
    Xia J; Yang D; Zhou H; Chen Y; Zhang H; Liu T; Heidari AA; Chen H; Pan Z
    Comput Biol Med; 2022 Feb; 141():105137. PubMed ID: 34953358
    [TBL] [Abstract][Full Text] [Related]  

  • 7. KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.
    Pandey P; Patel V; George NV; Mallajosyula SS
    J Proteome Res; 2018 Sep; 17(9):3214-3222. PubMed ID: 30032609
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis.
    Shan W; Qiao Z; Heidari AA; Gui W; Chen H; Teng Y; Liang Y; Lv T
    Comput Biol Med; 2022 Jul; 146():105563. PubMed ID: 35551010
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders.
    Yang X; Zhao D; Yu F; Heidari AA; Bano Y; Ibrohimov A; Liu Y; Cai Z; Chen H; Chen X
    Comput Biol Med; 2022 Jun; 145():105510. PubMed ID: 35585728
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine.
    Shi B; Ye H; Zheng L; Lyu J; Chen C; Heidari AA; Hu Z; Chen H; Wu P
    Comput Biol Med; 2021 Sep; 136():104698. PubMed ID: 34426165
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analyzing brain structural differences associated with categories of blood pressure in adults using empirical kernel mapping-based kernel ELM.
    Yu X; Peng B; Xue Z; Rad HS; Cai Z; Shi J; Zhu J; Dai Y
    Biomed Eng Online; 2019 Dec; 18(1):124. PubMed ID: 31881897
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimized kernel extreme learning machine using Sine Cosine Algorithm for prediction of unconfined compression strength of MICP cemented soil.
    Peng S; Sun Q; Fan L; Zhou J; Zhuo X
    Environ Sci Pollut Res Int; 2024 Apr; 31(17):24868-24880. PubMed ID: 38460037
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine.
    Li Y; Zhao D; Liu G; Liu Y; Bano Y; Ibrohimov A; Chen H; Wu C; Chen X
    Front Neuroinform; 2022; 16():956423. PubMed ID: 36387587
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Parsimonious kernel extreme learning machine in primal via Cholesky factorization.
    Zhao YP
    Neural Netw; 2016 Aug; 80():95-109. PubMed ID: 27203553
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fault diagnosis method of bearing utilizing GLCM and MBASA-based KELM.
    Fei SW; Liu YZ
    Sci Rep; 2022 Oct; 12(1):17368. PubMed ID: 36253422
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Advanced machine learning model for predicting Crohn's disease with enhanced ant colony optimization.
    He X; Ye H; Zhao R; Lu M; Chen Q; Bao L; Lv T; Li Q; Wu F
    Comput Biol Med; 2023 Sep; 163():107216. PubMed ID: 37399742
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Towards an Optimal KELM Using the PSO-BOA Optimization Strategy with Applications in Data Classification.
    Yue Y; Cao L; Chen H; Chen Y; Su Z
    Biomimetics (Basel); 2023 Jul; 8(3):. PubMed ID: 37504194
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China.
    Su H; Shou Y; Fu Y; Zhao D; Heidari AA; Han Z; Wu P; Chen H; Chen Y
    Front Neuroinform; 2022; 16():1052868. PubMed ID: 36590908
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An enhanced Runge Kutta boosted machine learning framework for medical diagnosis.
    Qiao Z; Li L; Zhao X; Liu L; Zhang Q; Hechmi S; Atri M; Li X
    Comput Biol Med; 2023 Jun; 160():106949. PubMed ID: 37159961
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases.
    Yang H; Liu H; Li G
    Comput Biol Med; 2023 Apr; 156():106674. PubMed ID: 36871336
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.