Additional file 3: of Identifying predictive features of Clostridium difficile infection recurrence before, during, and after primary antibiotic treatment

Pakpour, Sepideh; Bhanvadia, Amit; Zhu, Roger; Amarnani, Abhimanyu; Gibbons, Sean; Gurry, Thomas; Alm, Eric; Martello, Laura

doi:10.6084/m9.figshare.c.3929179_D3.v1

40168_2017_368_MOESM3_ESM.pdf (745.81 kB)

Additional file 3: of Identifying predictive features of Clostridium difficile infection recurrence before, during, and after primary antibiotic treatment

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posted on 2017-11-13, 05:00 authored by Sepideh Pakpour, Amit Bhanvadia, Roger Zhu, Abhimanyu Amarnani, Sean Gibbons, Thomas Gurry, Eric Alm, Laura Martello

A Random Forest model was able to classify samples according to study with very high accuracy (ROC AUC = 0.98). (PDF 745Â kb)

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Additional sample infection recurrence PDF 745Â kb Clostridium ROC AUC antibiotic treatment Random Forest model accuracy

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Additional file 3: of Identifying predictive features of Clostridium difficile infection recurrence before, during, and after primary antibiotic treatment

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