BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1028 related articles for article (PubMed ID: 32178250)

  • 21. 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]  

  • 22. Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.
    Zafar A; Attia Z; Tesfaye M; Walelign S; Wordofa M; Abera D; Desta K; Tsegaye A; Ay A; Taye B
    PLoS Negl Trop Dis; 2022 Jun; 16(6):e0010517. PubMed ID: 35700192
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.
    Jamthikar AD; Gupta D; Mantella LE; Saba L; Laird JR; Johri AM; Suri JS
    Int J Cardiovasc Imaging; 2021 Apr; 37(4):1171-1187. PubMed ID: 33184741
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study.
    Zhang L; Wang Y; Niu M; Wang C; Wang Z
    Sci Rep; 2020 Mar; 10(1):4406. PubMed ID: 32157171
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model.
    Lin K; Hu Y; Kong G
    Int J Med Inform; 2019 May; 125():55-61. PubMed ID: 30914181
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Application of machine learning algorithms to identify people with low bone density.
    Xu R; Chen Y; Yao Z; Wu W; Cui J; Wang R; Diao Y; Jin C; Hong Z; Li X
    Front Public Health; 2024; 12():1347219. PubMed ID: 38726233
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
    Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
    Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study.
    Park E; Lee K; Han T; Nam HS
    J Med Internet Res; 2020 Sep; 22(9):e20641. PubMed ID: 32936079
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Machine learning methods for imbalanced data set for prediction of faecal contamination in beach waters.
    Bourel M; Segura AM; Crisci C; López G; Sampognaro L; Vidal V; Kruk C; Piccini C; Perera G
    Water Res; 2021 Sep; 202():117450. PubMed ID: 34352535
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches.
    Tarekegn A; Ricceri F; Costa G; Ferracin E; Giacobini M
    JMIR Med Inform; 2020 Jun; 8(6):e16678. PubMed ID: 32442149
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them.
    Khodabandelu S; Basirat Z; Khaleghi S; Khafri S; Montazery Kordy H; Golsorkhtabaramiri M
    BMC Med Inform Decis Mak; 2022 Sep; 22(1):228. PubMed ID: 36050710
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.
    Kuo PJ; Wu SC; Chien PC; Rau CS; Chen YC; Hsieh HY; Hsieh CH
    BMJ Open; 2018 Jan; 8(1):e018252. PubMed ID: 29306885
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine model.
    Lin LS; Kao CH; Li YJ; Chen HH; Chen HY
    Math Biosci Eng; 2023 Sep; 20(10):17672-17701. PubMed ID: 38052532
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.
    Shimoda A; Ichikawa D; Oyama H
    Comput Methods Programs Biomed; 2018 Sep; 163():39-46. PubMed ID: 30119856
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Ischemic stroke prediction using machine learning in elderly Chinese population: The Rugao Longitudinal Ageing Study.
    Chang HW; Zhang H; Shi GP; Guo JH; Chu XF; Wang ZD; Yao Y; Wang XF
    Brain Behav; 2023 Dec; 13(12):e3307. PubMed ID: 37934082
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 52.