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In-bag variable selection rates (%) of the top 10 most frequently selected variables in the models highlighted in Table 1.
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posted on 2024-10-02, 05:54 authored by Autumn O’Donnell, Michael Cronin, Shirin Moghaddam, Eric WolsztynskiVariables explicitly linked to genetic information found in at least 3 of these 4 lists are highlighted in bold.
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systematic prostatectomy regimeprecision medicine approachpotential key predictorsncbi geo databaseevent machine learningappropriate therapeutic pathwaysoperative precision nomogramsroutine clinical informationregularised cox modelscommon clinical endpointsspecific survival horizonpatients even prioraccession gse21032 ).operative transcriptomics modelsmrna information comprisingmrna variables identifiedfree survival predictionoperative bcr predictionoperative predictionfree survivalmrna variablesclinical followclassification modelsbcr predictionbcr ).135 patientsyear survivalwould likelytreatment decisionretrospectively analysedresults showedprostate cancerpredictive accuracypatient profilesmodel discriminationmetrics consideredincluding confirmationexternal validationcould pavebiochemical recurrence000 features
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