Wang Y, Coiera E, Runciman WB, Magrabi F. Using multiclass classification to automate the identification of patient safety incident reports by type and severity. BMC Medical Informatics and Decision Making. 2017; (Accepted 7 June 2017).

Background Approximately 10% of admissions to acute-care hospitals are associated with an adverse event. Analysis of incident reports helps to understand how and why incidents occur and can inform policy and practice for safer care. Unfortunately our capacity to monitor and respond to incident reports in a timely manner is limited by the sheer volumes

X. Zhou, Y. Wang, G. Tsafnat, E. Coiera, F. T. Bourgeois and A. G. Dunn. (2015). Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors. J Clin Epidemiol (Vol. 68, pp. 87-93).

Abstract: OBJECTIVES: To examine the use of supervised machine learning to identify biases in evidence selection and determine if citation information can predict favorable conclusions in reviews about neuraminidase inhibitors. STUDY DESIGN AND SETTING: Reviews of neuraminidase inhibitors published during January 2005 to May 2013 were identified by searching PubMed. In a blinded evaluation, the