BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

260 related articles for article (PubMed ID: 33290932)

  • 1. Machine learning model for predicting malaria using clinical information.
    Lee YW; Choi JW; Shin EH
    Comput Biol Med; 2021 Feb; 129():104151. PubMed ID: 33290932
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stroke Prediction with Machine Learning Methods among Older Chinese.
    Wu Y; Fang Y
    Int J Environ Res Public Health; 2020 Mar; 17(6):. PubMed ID: 32178250
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.
    Wang Y; Wu X; Chen Z; Ren F; Feng L; Du Q
    Int J Environ Res Public Health; 2019 Jan; 16(3):. PubMed ID: 30696105
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.
    Sakr S; Elshawi R; Ahmed AM; Qureshi WT; Brawner CA; Keteyian SJ; Blaha MJ; Al-Mallah MH
    BMC Med Inform Decis Mak; 2017 Dec; 17(1):174. PubMed ID: 29258510
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes.
    Ismail E; Gad W; Hashem M
    BMC Bioinformatics; 2023 Oct; 24(1):379. PubMed ID: 37803253
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
    Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
    Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study.
    Elamrani Abou Elassad Z; Mousannif H; Al Moatassime H
    Traffic Inj Prev; 2020; 21(3):201-208. PubMed ID: 32125890
    [No Abstract]   [Full Text] [Related]  

  • 8. Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection.
    Seo JH; Kim YH
    Comput Intell Neurosci; 2018; 2018():9704672. PubMed ID: 30515202
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ADMET Evaluation in Drug Discovery. 18. Reliable Prediction of Chemical-Induced Urinary Tract Toxicity by Boosting Machine Learning Approaches.
    Lei T; Sun H; Kang Y; Zhu F; Liu H; Zhou W; Wang Z; Li D; Li Y; Hou T
    Mol Pharm; 2017 Nov; 14(11):3935-3953. PubMed ID: 29037046
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines.
    Richardson AM; Lidbury BA
    BMC Med Inform Decis Mak; 2017 Aug; 17(1):121. PubMed ID: 28806936
    [TBL] [Abstract][Full Text] [Related]  

  • 11. STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems.
    Li LH; Ahmad R; Tanone R; Sharma AK
    PeerJ Comput Sci; 2023; 9():e1580. PubMed ID: 38077567
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
    Tian L; Zhang D; Bao S; Nie P; Hao D; Liu Y; Zhang J; Wang H
    Clin Radiol; 2021 Feb; 76(2):158.e19-158.e25. PubMed ID: 33293024
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.
    Ahsan MM; Ali MS; Siddique Z
    Neural Netw; 2024 May; 173():106157. PubMed ID: 38335796
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Drug-Protein Interactions Prediction Models Using Feature Selection and Classification Techniques.
    Idhaya T; Suruliandi A; Raja SP
    Curr Drug Metab; 2023; 24(12):817-834. PubMed ID: 38270152
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting malaria outbreak in The Gambia using machine learning techniques.
    Khan O; Ajadi JO; Hossain MP
    PLoS One; 2024; 19(5):e0299386. PubMed ID: 38753678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Oversampling methods for machine learning model data training to improve model capabilities to predict the presence of Escherichia coli MG1655 in spinach wash water.
    Stanosheck JA; Castell-Perez ME; Moreira RG; King MD; Castillo A
    J Food Sci; 2024 Jan; 89(1):150-173. PubMed ID: 38051016
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier.
    Geetha R; Sivasubramanian S; Kaliappan M; Vimal S; Annamalai S
    J Med Syst; 2019 Jul; 43(9):286. PubMed ID: 31312985
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.
    Qu W; Balki I; Mendez M; Valen J; Levman J; Tyrrell PN
    Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):2041-2048. PubMed ID: 32965624
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets.
    Hasan M; Sahid MA; Uddin MP; Marjan MA; Kadry S; Kim J
    PeerJ Comput Sci; 2024; 10():e1917. PubMed ID: 38660196
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.