%0 Journal Article %A Pakpour, Sepideh %A Bhanvadia, Amit %A Zhu, Roger %A Amarnani, Abhimanyu %A Gibbons, Sean %A Gurry, Thomas %A Alm, Eric %A Martello, Laura %D 2017 %T Additional file 3: of Identifying predictive features of Clostridium difficile infection recurrence before, during, and after primary antibiotic treatment %U https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_Identifying_predictive_features_of_Clostridium_difficile_infection_recurrence_before_during_and_after_primary_antibiotic_treatment/5597356 %R 10.6084/m9.figshare.c.3929179_D3.v1 %2 https://springernature.figshare.com/ndownloader/files/9738538 %K Additional %K sample %K infection recurrence %K PDF 745  kb %K Clostridium %K ROC AUC %K antibiotic treatment %K Random Forest model %K accuracy %X A Random Forest model was able to classify samples according to study with very high accuracy (ROC AUC = 0.98). (PDF 745 kb) %I figshare