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oai:figshare.com:article/33939711 2026-09-18T17:51:28Z category_7 category_12 category_13 category_21 category_811 category_61 category_64 category_134 portal_5 item_type_3 month_year_09_2026

<p>Demographic, clinical and hematoma specific parameters.</p> Hussam Hamou (25073553) Julius Kernbach (25073556) Hani Ridwan (12119451) Kimberley Fay-Rodrian (25073559) Hans Clusmann (721270) Anke Hoellig (3158208) Michael Veldeman (3168549) Medicine Cell Biology Genetics Biotechnology Mathematical Sciences not elsewhere classified Developmental Biology Cancer Virology validated roc auc tuning used 10 standard clinical assessment satisfactory average calibration regularized logistic regression outperforming logistic regression disease severity markers discriminative capacity insufficient compared three models clinically relevant 90 590 &# 8211 5 &# 8211 2015 &# 8211 findings suggest recurrence risk subgroup suitable level risk estimates test performance indicated driven imaging strategies calibration slope 0 reducing imaging recurrence status recurrence patients risk patients risk individuals xlink "> test set surgical treatment supporting uniform stratified surveillance sensitivity threshold roughly one random forest radiographic variables primary outcome overconfident individual model development maintaining monitoring influential predictors icu admission highest cross hematoma volume fold cross escalated surveillance coagulation parameters center cohort best model 772 ), 686 ). <p>Demographic, clinical and hematoma specific parameters.</p> 2026-09-18T17:51:15Z Dataset Dataset 10.1371/journal.pone.0346756.t001 https://figshare.com/articles/dataset/_p_Demographic_clinical_and_hematoma_specific_parameters_p_/33939711 CC BY 4.0