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viscovery workflow  (Viscovery Software GmbH)

 
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    Viscovery Software GmbH viscovery workflow
    Viscovery Workflow, supplied by Viscovery Software GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/workflow+software+interactive+data+language/viscovery+workflow/pm37109283-75-9-8
    Average 90 stars, based on 1 article reviews
    viscovery workflow - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Selection:

    Article Title: Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
    Article Snippet: .. The left branch (in light red) shows the Viscovery workflow to identify predictors of restenosis: In the pre-processing steps, the attributes (measured parameters) are thoroughly checked; feature selection and extraction takes place as well as outlier removal and data transformation to have an optimal input for the SOM algorithm. ..

    Article Title: Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
    Article Snippet: .. The left branch (in light red) shows the Viscovery workflow to identify predictors of restenosis: In the pre-processing steps, the attributes (measured parameters) are thoroughly checked; feature selection and extraction takes place as well as outlier removal and data transfor e an optimal input for the SOM algorithm. ..

    Extraction:

    Article Title: Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
    Article Snippet: .. The left branch (in light red) shows the Viscovery workflow to identify predictors of restenosis: In the pre-processing steps, the attributes (measured parameters) are thoroughly checked; feature selection and extraction takes place as well as outlier removal and data transformation to have an optimal input for the SOM algorithm. ..

    Article Title: Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
    Article Snippet: .. The left branch (in light red) shows the Viscovery workflow to identify predictors of restenosis: In the pre-processing steps, the attributes (measured parameters) are thoroughly checked; feature selection and extraction takes place as well as outlier removal and data transfor e an optimal input for the SOM algorithm. ..

    Transformation Assay:

    Article Title: Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
    Article Snippet: .. The left branch (in light red) shows the Viscovery workflow to identify predictors of restenosis: In the pre-processing steps, the attributes (measured parameters) are thoroughly checked; feature selection and extraction takes place as well as outlier removal and data transformation to have an optimal input for the SOM algorithm. ..



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