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Showing 1 - 6 results of 6 for search 'multivariable mr selection algorithm', query time: 0.22s Refine Results
  1. 1
    DataSheet_1_Investigating the causal relationship and potential shared diagnostic genes between primary biliary cholangitis and systemic lupus erythematosus using bidirectional Mendelian randomization and transcriptomic analyses.doc

    DataSheet_1_Investigating the causal relationship and potential shared diagnostic genes between primary biliary cholangitis and systemic lupus erythematosus using bidirectional Men... by Tian Tao (8333904)

    Published 2024
    “…Multivariable MR (MVMR) analysis was also employed to evaluate the effect of possible confounders. …”
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  2. 2
    DataSheet_1_Investigating the causal relationship and potential shared diagnostic genes between primary biliary cholangitis and systemic lupus erythematosus using bidirectional Mendelian randomization and transcriptomic analyses.doc

    DataSheet_1_Investigating the causal relationship and potential shared diagnostic genes between primary biliary cholangitis and systemic lupus erythematosus using bidirectional Men... by Tian Tao (8333904)

    Published 2024
    “…Multivariable MR (MVMR) analysis was also employed to evaluate the effect of possible confounders. …”
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  3. 3
    Image_2_Different MRI-based radiomics models for differentiating misdiagnosed or ambiguous pleomorphic adenoma and Warthin tumor of the parotid gland: a multicenter study.tif

    Image_2_Different MRI-based radiomics models for differentiating misdiagnosed or ambiguous pleomorphic adenoma and Warthin tumor of the parotid gland: a multicenter study.tif by Jing Yang (13969)

    Published 2024
    “…The optimal radiomics model was found by running nine machine learning algorithms after feature reduction and selection. To create a clinical model, univariate logistic regression (LR) analysis and multivariate LR were used. …”
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  4. 4
    Image_1_Different MRI-based radiomics models for differentiating misdiagnosed or ambiguous pleomorphic adenoma and Warthin tumor of the parotid gland: a multicenter study.tif

    Image_1_Different MRI-based radiomics models for differentiating misdiagnosed or ambiguous pleomorphic adenoma and Warthin tumor of the parotid gland: a multicenter study.tif by Jing Yang (13969)

    Published 2024
    “…The optimal radiomics model was found by running nine machine learning algorithms after feature reduction and selection. To create a clinical model, univariate logistic regression (LR) analysis and multivariate LR were used. …”
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  5. 5
    DataSheet_1_Radiomics Approach for Prediction of Recurrence in Non-Functioning Pituitary Macroadenomas.docx

    DataSheet_1_Radiomics Approach for Prediction of Recurrence in Non-Functioning Pituitary Macroadenomas.docx by Yang Zhang (30734)

    Published 2020
    “…</p>Conclusions<p>Our preliminary results showed that objective and quantitative MR radiomic features can be extracted from NFPAs. …”
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  6. 6
    Data_Sheet_1_Deep learning-based clinical-radiomics nomogram for preoperative prediction of lymph node metastasis in patients with rectal cancer: a two-center study.docx

    Data_Sheet_1_Deep learning-based clinical-radiomics nomogram for preoperative prediction of lymph node metastasis in patients with rectal cancer: a two-center study.docx by Shiyu Ma (4643200)

    Published 2023
    “…A total of 253 consecutive individuals were selected from Center I to create an automated MRI segmentation technique utilizing deep learning algorithms. …”
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