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 *

173 related articles for article (PubMed ID: 36590906)

  • 1. Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques.
    Su H; Han Z; Fu Y; Zhao D; Yu F; Heidari AA; Zhang Y; Shou Y; Wu P; Chen H; Chen Y
    Front Neuroinform; 2022; 16():1029690. PubMed ID: 36590906
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Kernel extreme learning with harmonized bat algorithm for prediction of pyrene toxicity in rats.
    Su H; Zhao D; Heidari AA; Cai Z; Chen H; Zhu J
    Basic Clin Pharmacol Toxicol; 2024 Feb; 134(2):250-271. PubMed ID: 37945549
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Optimizing multimodal feature selection using binary reinforced cuckoo search algorithm for improved classification performance.
    Thirugnanasambandam K; Murugan J; Ramalingam R; Rashid M; Raghav RS; Kim TH; Sampedro GA; Abisado M
    PeerJ Comput Sci; 2024; 10():e1816. PubMed ID: 38435570
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model.
    Peng C; Yan J; Duan S; Wang L; Jia P; Zhang S
    Sensors (Basel); 2016 Apr; 16(4):. PubMed ID: 27077860
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.
    Shen J; Casie Chetty S; Shokouhi S; Maharjan J; Chuba Y; Calvert J; Mao Q
    Thromb Res; 2022 Aug; 216():14-21. PubMed ID: 35679633
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. An improved kernel based extreme learning machine for robot execution failures.
    Li B; Rong X; Li Y
    ScientificWorldJournal; 2014; 2014():906546. PubMed ID: 24977234
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data.
    Laffafchi S; Ebrahimi A; Kafan S
    Health Inf Sci Syst; 2024 Dec; 12(1):17. PubMed ID: 38464464
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Multi-Swarm Algorithm for Extreme Learning Machine Optimization.
    Bacanin N; Stoean C; Zivkovic M; Jovanovic D; Antonijevic M; Mladenovic D
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684824
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.