BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1552 related articles for article (PubMed ID: 31864346)

  • 1. Comparing different supervised machine learning algorithms for disease prediction.
    Uddin S; Khan A; Hossain ME; Moni MA
    BMC Med Inform Decis Mak; 2019 Dec; 19(1):281. PubMed ID: 31864346
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of supervised machine learning algorithms for classification and prediction of type-2 diabetes disease status in Afar regional state, Northeastern Ethiopia 2021.
    Ebrahim OA; Derbew G
    Sci Rep; 2023 May; 13(1):7779. PubMed ID: 37179444
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
    Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
    Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia.
    Zhang Y; Ma Y
    Comput Biol Med; 2019 Mar; 106():33-39. PubMed ID: 30665140
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Obstructive Sleep Apnea: A Prediction Model Using Supervised Machine Learning Method.
    Keshavarz Z; Rezaee R; Nasiri M; Pournik O
    Stud Health Technol Inform; 2020 Jun; 272():387-390. PubMed ID: 32604683
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison.
    Ali MM; Paul BK; Ahmed K; Bui FM; Quinn JMW; Moni MA
    Comput Biol Med; 2021 Sep; 136():104672. PubMed ID: 34315030
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine-learning techniques for the prediction of protein-protein interactions.
    Sarkar D; Saha S
    J Biosci; 2019 Sep; 44(4):. PubMed ID: 31502581
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Developing robust arsenic awareness prediction models using machine learning algorithms.
    Singh SK; Taylor RW; Rahman MM; Pradhan B
    J Environ Manage; 2018 Apr; 211():125-137. PubMed ID: 29408061
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).
    Beunza JJ; Puertas E; García-Ovejero E; Villalba G; Condes E; Koleva G; Hurtado C; Landecho MF
    J Biomed Inform; 2019 Sep; 97():103257. PubMed ID: 31374261
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction accident narrative classification: An evaluation of text mining techniques.
    Goh YM; Ubeynarayana CU
    Accid Anal Prev; 2017 Nov; 108():122-130. PubMed ID: 28865927
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.
    Imura T; Toda H; Iwamoto Y; Inagawa T; Imada N; Tanaka R; Inoue Y; Araki H; Araki O
    J Stroke Cerebrovasc Dis; 2021 Oct; 30(10):106011. PubMed ID: 34325274
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
    Abdel-Fattah MA; Othman NA; Goher N
    Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.
    Bektas CT; Kocak B; Yardimci AH; Turkcanoglu MH; Yucetas U; Koca SB; Erdim C; Kilickesmez O
    Eur Radiol; 2019 Mar; 29(3):1153-1163. PubMed ID: 30167812
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improve hot region prediction by analyzing different machine learning algorithms.
    Hu J; Zhou L; Li B; Zhang X; Chen N
    BMC Bioinformatics; 2021 Oct; 22(Suppl 3):522. PubMed ID: 34696728
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review.
    Jorayeva M; Akbulut A; Catal C; Mishra A
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408166
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction.
    Noroozi Z; Orooji A; Erfannia L
    Sci Rep; 2023 Dec; 13(1):22588. PubMed ID: 38114600
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Implementation of a Heart Disease Risk Prediction Model Using Machine Learning.
    Karthick K; Aruna SK; Samikannu R; Kuppusamy R; Teekaraman Y; Thelkar AR
    Comput Math Methods Med; 2022; 2022():6517716. PubMed ID: 35547562
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction model development of late-onset preeclampsia using machine learning-based methods.
    Jhee JH; Lee S; Park Y; Lee SE; Kim YA; Kang SW; Kwon JY; Park JT
    PLoS One; 2019; 14(8):e0221202. PubMed ID: 31442238
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data.
    Saccà V; Sarica A; Novellino F; Barone S; Tallarico T; Filippelli E; Granata A; Chiriaco C; Bruno Bossio R; Valentino P; Quattrone A
    Brain Imaging Behav; 2019 Aug; 13(4):1103-1114. PubMed ID: 29992392
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 78.